From 1ec8df8cec36b7e0fc7ab183ad6ce91837e457db Mon Sep 17 00:00:00 2001
From: leehk <leehongkai@gmail.com>
Date: Thu, 24 Apr 2025 12:58:46 +0800
Subject: [PATCH 01/11] update

---
 app/backend/Dockerfile                        |   14 +-
 app/backend/Pipfile                           |   16 +-
 app/backend/Pipfile.lock                      | 1127 ++++++++++++-----
 app/backend/api/chatbot.py                    |  395 +++++-
 .../models/adaptive_rag/prompts_library.py    |   98 ++
 .../utils/initialize_sentence_transformer.py  |   15 +
 app/docker-compose.yml                        |   20 +-
 7 files changed, 1368 insertions(+), 317 deletions(-)
 create mode 100644 app/backend/models/adaptive_rag/prompts_library.py
 create mode 100644 app/backend/utils/initialize_sentence_transformer.py

diff --git a/app/backend/Dockerfile b/app/backend/Dockerfile
index a3c5e17..929fda7 100644
--- a/app/backend/Dockerfile
+++ b/app/backend/Dockerfile
@@ -25,19 +25,29 @@ COPY . $APP_HOME
 # install python dependencies
 RUN pip install -i https://pypi.tuna.tsinghua.edu.cn/simple pipenv && rm -rf ~/.cache/pip
 RUN pipenv install --deploy --dev
+RUN pipenv install --index https://download.pytorch.org/whl/cpu torch
 
 # chown all the files to the app user
+# Create cache directory and set permissions
+RUN mkdir -p /home/app/.cache/huggingface
+RUN chown -R app:app /home/app/.cache/huggingface
+
 RUN chown -R app:app $APP_HOME
 
 # change to the app user
 USER app
 
-# pytest
-RUN pipenv run pytest tests --disable-warnings
+# Run python to initialize download of SentenceTransformer model
+RUN pipenv run python utils/initialize_sentence_transformer.py
+
+# # pytest
+# RUN pipenv run pytest tests --disable-warnings
 
 
 # expose the port the app runs on
 EXPOSE 80
 
+
 # run uvicorn
 CMD ["pipenv", "run", "uvicorn", "main:app", "--reload", "--workers", "1", "--host", "0.0.0.0", "--port", "80"]
+
diff --git a/app/backend/Pipfile b/app/backend/Pipfile
index 9ab5c9d..ec4a67a 100644
--- a/app/backend/Pipfile
+++ b/app/backend/Pipfile
@@ -7,15 +7,19 @@ name = "pypi"
 fastapi = "==0.115.9"
 starlette = "==0.45.3"
 uvicorn = {version = "==0.26.0", extras = ["standard"]}
-pydantic-settings = "==2.1.0"
+pydantic-settings = "*"
 gunicorn = "==21.0.1"
 python-decouple = "==3.8"
 pyyaml = "==6.0.1"
-docker = "*"
-chromadb = "*"
-sentence-transformers = "*"
-langchain = "*"
-langchain-deepseek = "*"
+docker = "==6.1.3"
+chromadb = "==0.6.3"
+sentence-transformers = "==3.4.1"
+langchain = "==0.3.20"
+langgraph = "==0.3.5"
+langchain-community = "==0.3.19"
+tavily-python = "==0.5.1"
+langchain_huggingface = "==0.1.2"
+langchain-deepseek = "==0.1.2"
 
 [dev-packages]
 httpx = "==0.26.0"
diff --git a/app/backend/Pipfile.lock b/app/backend/Pipfile.lock
index 102f2b1..7f6a424 100644
--- a/app/backend/Pipfile.lock
+++ b/app/backend/Pipfile.lock
@@ -1,7 +1,7 @@
 {
     "_meta": {
         "hash": {
-            "sha256": "5d9bbaeb520a4c6fc604de7dbc6ee0d9a087b0a07610eba4d66e4dcc89d468e2"
+            "sha256": "466cd477ffba612eaafadf862b617b4a423203028505d06d1dd2261515ca386d"
         },
         "pipfile-spec": 6,
         "requires": {
@@ -16,6 +16,109 @@
         ]
     },
     "default": {
+        "aiohappyeyeballs": {
+            "hashes": [
+                "sha256:c3f9d0113123803ccadfdf3f0faa505bc78e6a72d1cc4806cbd719826e943558",
+                "sha256:f349ba8f4b75cb25c99c5c2d84e997e485204d2902a9597802b0371f09331fb8"
+            ],
+            "markers": "python_version >= '3.9'",
+            "version": "==2.6.1"
+        },
+        "aiohttp": {
+            "hashes": [
+                "sha256:0700055a6e05c2f4711011a44364020d7a10fbbcd02fbf3e30e8f7e7fddc8717",
+                "sha256:0a8d8f20c39d3fa84d1c28cdb97f3111387e48209e224408e75f29c6f8e0861d",
+                "sha256:0e2a92101efb9f4c2942252c69c63ddb26d20f46f540c239ccfa5af865197bb8",
+                "sha256:0f421843b0f70740772228b9e8093289924359d306530bcd3926f39acbe1adda",
+                "sha256:106032eaf9e62fd6bc6578c8b9e6dc4f5ed9a5c1c7fb2231010a1b4304393421",
+                "sha256:11d5391946605f445ddafda5eab11caf310f90cdda1fd99865564e3164f5cff9",
+                "sha256:122f3e739f6607e5e4c6a2f8562a6f476192a682a52bda8b4c6d4254e1138f4d",
+                "sha256:12a62691eb5aac58d65200c7ae94d73e8a65c331c3a86a2e9670927e94339ee8",
+                "sha256:13cd38515568ae230e1ef6919e2e33da5d0f46862943fcda74e7e915096815f3",
+                "sha256:1596ebf17e42e293cbacc7a24c3e0dc0f8f755b40aff0402cb74c1ff6baec1d3",
+                "sha256:25557982dd36b9e32c0a3357f30804e80790ec2c4d20ac6bcc598533e04c6361",
+                "sha256:28c3f975e5ae3dbcbe95b7e3dcd30e51da561a0a0f2cfbcdea30fc1308d72137",
+                "sha256:2c828b6d23b984255b85b9b04a5b963a74278b7356a7de84fda5e3b76866597b",
+                "sha256:2d9f6c0152f8d71361905aaf9ed979259537981f47ad099c8b3d81e0319814bd",
+                "sha256:364329f319c499128fd5cd2d1c31c44f234c58f9b96cc57f743d16ec4f3238c8",
+                "sha256:3849ead845e8444f7331c284132ab314b4dac43bfae1e3cf350906d4fff4620f",
+                "sha256:3a621d85e85dccabd700294494d7179ed1590b6d07a35709bb9bd608c7f5dd1d",
+                "sha256:3b8d2b42073611c860a37f718b3d61ae8b4c2b124b2e776e2c10619d920350ec",
+                "sha256:3cc314245deb311364884e44242e00c18b5896e4fe6d5f942e7ad7e4cb640adb",
+                "sha256:3cec21dd68924179258ae14af9f5418c1ebdbba60b98c667815891293902e5e0",
+                "sha256:3d518ce32179f7e2096bf4e3e8438cf445f05fedd597f252de9f54c728574756",
+                "sha256:40fbf91f6a0ac317c0a07eb328a1384941872f6761f2e6f7208b63c4cc0a7ff6",
+                "sha256:427fdc56ccb6901ff8088544bde47084845ea81591deb16f957897f0f0ba1be9",
+                "sha256:44ff5625413fec55216da5eaa011cf6b0a2ed67a565914a212a51aa3755b0009",
+                "sha256:46533e6792e1410f9801d09fd40cbbff3f3518d1b501d6c3c5b218f427f6ff08",
+                "sha256:469ac32375d9a716da49817cd26f1916ec787fc82b151c1c832f58420e6d3533",
+                "sha256:474215ec618974054cf5dc465497ae9708543cbfc312c65212325d4212525811",
+                "sha256:5199be2a2f01ffdfa8c3a6f5981205242986b9e63eb8ae03fd18f736e4840721",
+                "sha256:540b8a1f3a424f1af63e0af2d2853a759242a1769f9f1ab053996a392bd70118",
+                "sha256:554c918ec43f8480b47a5ca758e10e793bd7410b83701676a4782672d670da55",
+                "sha256:5691dc38750fcb96a33ceef89642f139aa315c8a193bbd42a0c33476fd4a1609",
+                "sha256:5bc0ae0a5e9939e423e065a3e5b00b24b8379f1db46046d7ab71753dfc7dd0e1",
+                "sha256:5c2eaa145bb36b33af1ff2860820ba0589e165be4ab63a49aebfd0981c173b66",
+                "sha256:5d61df4a05476ff891cff0030329fee4088d40e4dc9b013fac01bc3c745542c2",
+                "sha256:5e7007b8d1d09bce37b54111f593d173691c530b80f27c6493b928dabed9e6ef",
+                "sha256:5e8452ad6b2863709f8b3d615955aa0807bc093c34b8e25b3b52097fe421cb7f",
+                "sha256:63d71eceb9cad35d47d71f78edac41fcd01ff10cacaa64e473d1aec13fa02df2",
+                "sha256:6ced70adf03920d4e67c373fd692123e34d3ac81dfa1c27e45904a628567d804",
+                "sha256:73b8870fe1c9a201b8c0d12c94fe781b918664766728783241a79e0468427e4f",
+                "sha256:767a97e6900edd11c762be96d82d13a1d7c4fc4b329f054e88b57cdc21fded94",
+                "sha256:7ccec9e72660b10f8e283e91aa0295975c7bd85c204011d9f5eb69310555cf30",
+                "sha256:7d0aebeb2392f19b184e3fdd9e651b0e39cd0f195cdb93328bd124a1d455cd0e",
+                "sha256:7e889c9df381a2433802991288a61e5a19ceb4f61bd14f5c9fa165655dcb1fd1",
+                "sha256:7f33a92a2fde08e8c6b0c61815521324fc1612f397abf96eed86b8e31618fdb4",
+                "sha256:8a4076a2b3ba5b004b8cffca6afe18a3b2c5c9ef679b4d1e9859cf76295f8d4f",
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+                "sha256:9c23fd8d08eb9c2af3faeedc8c56e134acdaf36e2117ee059d7defa655130e5f",
+                "sha256:9d4df95ad522c53f2b9ebc07f12ccd2cb15550941e11a5bbc5ddca2ca56316d7",
+                "sha256:9ea345fda05bae217b6cce2acf3682ce3b13d0d16dd47d0de7080e5e21362421",
+                "sha256:9f26545b9940c4b46f0a9388fd04ee3ad7064c4017b5a334dd450f616396590e",
+                "sha256:a2fd04ae4971b914e54fe459dd7edbbd3f2ba875d69e057d5e3c8e8cac094935",
+                "sha256:a35197013ed929c0aed5c9096de1fc5a9d336914d73ab3f9df14741668c0616c",
+                "sha256:ab2ef72f8605046115bc9aa8e9d14fd49086d405855f40b79ed9e5c1f9f4faea",
+                "sha256:ad2f41203e2808616292db5d7170cccf0c9f9c982d02544443c7eb0296e8b0c7",
+                "sha256:ad8c745ff9460a16b710e58e06a9dec11ebc0d8f4dd82091cefb579844d69868",
+                "sha256:ae856e1138612b7e412db63b7708735cff4d38d0399f6a5435d3dac2669f558a",
+                "sha256:b2f317d1678002eee6fe85670039fb34a757972284614638f82b903a03feacdc",
+                "sha256:b426495fb9140e75719b3ae70a5e8dd3a79def0ae3c6c27e012fc59f16544a4a",
+                "sha256:b491e42183e8fcc9901d8dcd8ae644ff785590f1727f76ca86e731c61bfe6643",
+                "sha256:bdd619c27e44382cf642223f11cfd4d795161362a5a1fc1fa3940397bc89db01",
+                "sha256:c1b90407ced992331dd6d4f1355819ea1c274cc1ee4d5b7046c6761f9ec11829",
+                "sha256:c28875e316c7b4c3e745172d882d8a5c835b11018e33432d281211af35794a93",
+                "sha256:cc93a4121d87d9f12739fc8fab0a95f78444e571ed63e40bfc78cd5abe700ac9",
+                "sha256:cdd1bbaf1e61f0d94aced116d6e95fe25942f7a5f42382195fd9501089db5d78",
+                "sha256:d1929da615840969929e8878d7951b31afe0bac883d84418f92e5755d7b49508",
+                "sha256:d9e6b0e519067caa4fd7fb72e3e8002d16a68e84e62e7291092a5433763dc0dd",
+                "sha256:e220e7562467dc8d589e31c1acd13438d82c03d7f385c9cd41a3f6d1d15807c1",
+                "sha256:e6d3e32b8753c8d45ac550b11a1090dd66d110d4ef805ffe60fa61495360b3b2",
+                "sha256:e6f3c0a3a1e73e88af384b2e8a0b9f4fb73245afd47589df2afcab6b638fa0e6",
+                "sha256:ea4cf2488156e0f281f93cc2fd365025efcba3e2d217cbe3df2840f8c73db261",
+                "sha256:eab7b040a8a873020113ba814b7db7fa935235e4cbaf8f3da17671baa1024863",
+                "sha256:f0ddc9337a0fb0e727785ad4f41163cc314376e82b31846d3835673786420ef1",
+                "sha256:f2c50bad73ed629cc326cc0f75aed8ecfb013f88c5af116f33df556ed47143eb",
+                "sha256:f414f37b244f2a97e79b98d48c5ff0789a0b4b4609b17d64fa81771ad780e415",
+                "sha256:f8af2ef3b4b652ff109f98087242e2ab974b2b2b496304063585e3d78de0b000",
+                "sha256:f9e6710ebebfce2ba21cee6d91e7452d1125100f41b906fb5af3da8c78b764c1",
+                "sha256:fdb239f47328581e2ec7744ab5911f97afb10752332a6dd3d98e14e429e1a9e7",
+                "sha256:fe7cdd3f7d1df43200e1c80f1aed86bb36033bf65e3c7cf46a2b97a253ef8798"
+            ],
+            "markers": "python_version >= '3.9'",
+            "version": "==3.11.18"
+        },
+        "aiosignal": {
+            "hashes": [
+                "sha256:45cde58e409a301715980c2b01d0c28bdde3770d8290b5eb2173759d9acb31a5",
+                "sha256:a8c255c66fafb1e499c9351d0bf32ff2d8a0321595ebac3b93713656d2436f54"
+            ],
+            "markers": "python_version >= '3.9'",
+            "version": "==1.3.2"
+        },
         "annotated-types": {
             "hashes": [
                 "sha256:1f02e8b43a8fbbc3f3e0d4f0f4bfc8131bcb4eebe8849b8e5c773f3a1c582a53",
@@ -271,16 +374,12 @@
         },
         "chromadb": {
             "hashes": [
-                "sha256:32daa01014acf98570eeb31e966b641a4d79a2fdc1f750caa5dfc1ba24d9991c",
-                "sha256:37e8071e3bc40f0a67730f9483ca1d3e8a67d32a3409cd1beaacfb76336eb98c",
-                "sha256:844a2a3bd624149093be84b9c3e2b070fa21da129c8563c790be64c4bf0d9f5f",
-                "sha256:9c4e72dba33b6fd2da55f044498b298169724cae5113538fa18b3458427ecea8",
-                "sha256:ee927adfe618e170320b6da25b39a01282142350de70b9b76ab98aa7af7d2f34",
-                "sha256:f6789b573f510815218b25027f8471b6c132acc2f2d2a53ff42e3e76d9d248ac"
+                "sha256:4851258489a3612b558488d98d09ae0fe0a28d5cad6bd1ba64b96fdc419dc0e5",
+                "sha256:c8f34c0b704b9108b04491480a36d42e894a960429f87c6516027b5481d59ed3"
             ],
             "index": "pypi",
             "markers": "python_version >= '3.9'",
-            "version": "==1.0.4"
+            "version": "==0.6.3"
         },
         "click": {
             "hashes": [
@@ -298,6 +397,14 @@
             "markers": "python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3, 3.4'",
             "version": "==15.0.1"
         },
+        "dataclasses-json": {
+            "hashes": [
+                "sha256:0dbf33f26c8d5305befd61b39d2b3414e8a407bedc2834dea9b8d642666fb40a",
+                "sha256:b6b3e528266ea45b9535223bc53ca645f5208833c29229e847b3f26a1cc55fc0"
+            ],
+            "markers": "python_version >= '3.7' and python_version < '4.0'",
+            "version": "==0.6.7"
+        },
         "deprecated": {
             "hashes": [
                 "sha256:422b6f6d859da6f2ef57857761bfb392480502a64c3028ca9bbe86085d72115d",
@@ -316,12 +423,12 @@
         },
         "docker": {
             "hashes": [
-                "sha256:ad8c70e6e3f8926cb8a92619b832b4ea5299e2831c14284663184e200546fa6c",
-                "sha256:c96b93b7f0a746f9e77d325bcfb87422a3d8bd4f03136ae8a85b37f1898d5fc0"
+                "sha256:aa6d17830045ba5ef0168d5eaa34d37beeb113948c413affe1d5991fc11f9a20",
+                "sha256:aecd2277b8bf8e506e484f6ab7aec39abe0038e29fa4a6d3ba86c3fe01844ed9"
             ],
             "index": "pypi",
-            "markers": "python_version >= '3.8'",
-            "version": "==7.1.0"
+            "markers": "python_version >= '3.7'",
+            "version": "==6.1.3"
         },
         "durationpy": {
             "hashes": [
@@ -354,6 +461,116 @@
             ],
             "version": "==25.2.10"
         },
+        "frozenlist": {
+            "hashes": [
+                "sha256:01bcaa305a0fdad12745502bfd16a1c75b14558dabae226852f9159364573117",
+                "sha256:03572933a1969a6d6ab509d509e5af82ef80d4a5d4e1e9f2e1cdd22c77a3f4d2",
+                "sha256:0dbae96c225d584f834b8d3cc688825911960f003a85cb0fd20b6e5512468c42",
+                "sha256:0e6f8653acb82e15e5443dba415fb62a8732b68fe09936bb6d388c725b57f812",
+                "sha256:0f2ca7810b809ed0f1917293050163c7654cefc57a49f337d5cd9de717b8fad3",
+                "sha256:118e97556306402e2b010da1ef21ea70cb6d6122e580da64c056b96f524fbd6a",
+                "sha256:1255d5d64328c5a0d066ecb0f02034d086537925f1f04b50b1ae60d37afbf572",
+                "sha256:1330f0a4376587face7637dfd245380a57fe21ae8f9d360c1c2ef8746c4195fa",
+                "sha256:1b8e8cd8032ba266f91136d7105706ad57770f3522eac4a111d77ac126a25a9b",
+                "sha256:1c6eceb88aaf7221f75be6ab498dc622a151f5f88d536661af3ffc486245a626",
+                "sha256:1d7fb014fe0fbfee3efd6a94fc635aeaa68e5e1720fe9e57357f2e2c6e1a647e",
+                "sha256:1db8b2fc7ee8a940b547a14c10e56560ad3ea6499dc6875c354e2335812f739d",
+                "sha256:2187248203b59625566cac53572ec8c2647a140ee2738b4e36772930377a533c",
+                "sha256:2b8cf4cfea847d6c12af06091561a89740f1f67f331c3fa8623391905e878530",
+                "sha256:2bdfe2d7e6c9281c6e55523acd6c2bf77963cb422fdc7d142fb0cb6621b66878",
+                "sha256:2e8246877afa3f1ae5c979fe85f567d220f86a50dc6c493b9b7d8191181ae01e",
+                "sha256:36d2fc099229f1e4237f563b2a3e0ff7ccebc3999f729067ce4e64a97a7f2869",
+                "sha256:37a8a52c3dfff01515e9bbbee0e6063181362f9de3db2ccf9bc96189b557cbfd",
+                "sha256:3e911391bffdb806001002c1f860787542f45916c3baf764264a52765d5a5603",
+                "sha256:431ef6937ae0f853143e2ca67d6da76c083e8b1fe3df0e96f3802fd37626e606",
+                "sha256:437cfd39564744ae32ad5929e55b18ebd88817f9180e4cc05e7d53b75f79ce85",
+                "sha256:46138f5a0773d064ff663d273b309b696293d7a7c00a0994c5c13a5078134b64",
+                "sha256:482fe06e9a3fffbcd41950f9d890034b4a54395c60b5e61fae875d37a699813f",
+                "sha256:49ba23817781e22fcbd45fd9ff2b9b8cdb7b16a42a4851ab8025cae7b22e96d0",
+                "sha256:4da6fc43048b648275a220e3a61c33b7fff65d11bdd6dcb9d9c145ff708b804c",
+                "sha256:4def87ef6d90429f777c9d9de3961679abf938cb6b7b63d4a7eb8a268babfce4",
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@@ -517,6 +734,14 @@
             "markers": "python_version >= '3.8'",
             "version": "==0.28.1"
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@@ -671,22 +896,6 @@
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@@ -697,37 +906,55 @@
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             "markers": "python_version >= '3.9' and python_version < '4.0'",
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@@ -737,13 +964,46 @@
             "markers": "python_version >= '3.9' and python_version < '4.0'",
             "version": "==0.3.8"
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@@ -820,6 +1080,14 @@
             "markers": "python_version >= '3.9'",
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@@ -929,6 +1197,124 @@
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@@ -1008,115 +1394,115 @@
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@@ -1192,6 +1578,53 @@
             "markers": "python_version >= '3.9'",
             "version": "==3.10.16"
         },
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@@ -1450,12 +1987,12 @@
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@@ -1561,14 +2098,6 @@
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@@ -1701,133 +2230,13 @@
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@@ -2051,6 +2460,15 @@
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@@ -2183,6 +2601,13 @@
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@@ -2498,6 +2923,116 @@
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+                "sha256:b6c4c3d0d6a0ae9b281e492b1465c72de433b782e6b5001c8e7249e085b69051",
+                "sha256:b7fa0cb9fd27ffb1211cde944b41f5c67ab1c13a13ebafe470b1e206b8459da8",
+                "sha256:b9ae2fbe54d859b3ade40290f60fe40e7f969d83d482e84d2c31b9bff03e359e",
+                "sha256:bb769ae5760cd1c6a712135ee7915f9d43f11d9ef769cb3f75a23e398a92d384",
+                "sha256:bc906b636239631d42eb8a07df8359905da02704a868983265603887ed68c076",
+                "sha256:bdb77efde644d6f1ad27be8a5d67c10b7f769804fff7a966ccb1da5a4de4b656",
+                "sha256:bf099e2432131093cc611623e0b0bcc399b8cddd9a91eded8bfb50402ec35018",
+                "sha256:c27d98f4e5c4060582f44e58309c1e55134880558f1add7a87c1bc36ecfade19",
+                "sha256:c8703517b924463994c344dcdf99a2d5ce9eca2b6882bb640aa555fb5efc706a",
+                "sha256:c9471ca18e6aeb0e03276b5e9b27b14a54c052d370a9c0c04a68cefbd1455eb4",
+                "sha256:ce360ae48a5e9961d0c730cf891d40698a82804e85f6e74658fb175207a77cb2",
+                "sha256:d0bf955b96ea44ad914bc792c26a0edcd71b4668b93cbcd60f5b0aeaaed06c64",
+                "sha256:d2cbca6760a541189cf87ee54ff891e1d9ea6406079c66341008f7ef6ab61145",
+                "sha256:d4fad6e5189c847820288286732075f213eabf81be4d08d6cc309912e62be5b7",
+                "sha256:d88cc43e923f324203f6ec14434fa33b85c06d18d59c167a0637164863b8e995",
+                "sha256:db243357c6c2bf3cd7e17080034ade668d54ce304d820c2a58514a4e51d0cfd6",
+                "sha256:dd59c9dd58ae16eaa0f48c3d0cbe6be8ab4dc7247c3ff7db678edecbaf59327f",
+                "sha256:e06b9f6cdd772f9b665e5ba8161968e11e403774114420737f7884b5bd7bdf6f",
+                "sha256:e52d6ed9ea8fd3abf4031325dc714aed5afcbfa19ee4a89898d663c9976eb487",
+                "sha256:ea52f7328a36960ba3231c6677380fa67811b414798a6e071c7085c57b6d20a9",
+                "sha256:eaddd7804d8e77d67c28d154ae5fab203163bd0998769569861258e525039d2a",
+                "sha256:f0cf05ae2d3d87a8c9022f3885ac6dea2b751aefd66a4f200e408a61ae9b7f0d",
+                "sha256:f106e75c454288472dbe615accef8248c686958c2e7dd3b8d8ee2669770d020f",
+                "sha256:f166eafa78810ddb383e930d62e623d288fb04ec566d1b4790099ae0f31485f1",
+                "sha256:f1f6670b9ae3daedb325fa55fbe31c22c8228f6e0b513772c2e1c623caa6ab22",
+                "sha256:f4d3fa9b9f013f7050326e165c3279e22850d02ae544ace285674cb6174b5d6d",
+                "sha256:f8d8aa8dd89ffb9a831fedbcb27d00ffd9f4842107d52dc9d57e64cb34073d5c",
+                "sha256:f9d02b591a64e4e6ca18c5e3d925f11b559c763b950184a64cf47d74d7e41877",
+                "sha256:faa709b66ae0e24c8e5134033187a972d849d87ed0a12a0366bedcc6b5dc14a5",
+                "sha256:fb0caeac4a164aadce342f1597297ec0ce261ec4532bbc5a9ca8da5622f53867",
+                "sha256:fdb5204d17cb32b2de2d1e21c7461cabfacf17f3645e4b9039f210c5d3378bf3"
+            ],
+            "markers": "python_version >= '3.9'",
+            "version": "==1.20.0"
+        },
         "zipp": {
             "hashes": [
                 "sha256:2c9958f6430a2040341a52eb608ed6dd93ef4392e02ffe219417c1b28b5dd1f4",
@@ -2804,11 +3339,11 @@
         },
         "mypy-extensions": {
             "hashes": [
-                "sha256:4392f6c0eb8a5668a69e23d168ffa70f0be9ccfd32b5cc2d26a34ae5b844552d",
-                "sha256:75dbf8955dc00442a438fc4d0666508a9a97b6bd41aa2f0ffe9d2f2725af0782"
+                "sha256:1be4cccdb0f2482337c4743e60421de3a356cd97508abadd57d47403e94f5505",
+                "sha256:52e68efc3284861e772bbcd66823fde5ae21fd2fdb51c62a211403730b916558"
             ],
-            "markers": "python_version >= '3.5'",
-            "version": "==1.0.0"
+            "markers": "python_version >= '3.8'",
+            "version": "==1.1.0"
         },
         "packaging": {
             "hashes": [
diff --git a/app/backend/api/chatbot.py b/app/backend/api/chatbot.py
index 6f12d4e..0b617db 100644
--- a/app/backend/api/chatbot.py
+++ b/app/backend/api/chatbot.py
@@ -1,9 +1,45 @@
 import json
 import os
+import argparse
+import shutil
 
 from decouple import config
+from typing import List
+from typing_extensions import TypedDict
+
 from fastapi import APIRouter, WebSocket, WebSocketDisconnect
 from langchain_deepseek import ChatDeepSeek
+from langchain_huggingface import HuggingFaceEmbeddings
+from langchain_community.vectorstores.chroma import Chroma
+from langchain_community.tools.tavily_search import TavilySearchResults
+
+from langchain_core.prompts import ChatPromptTemplate
+from langchain_core.output_parsers import StrOutputParser
+from langchain.prompts import PromptTemplate, HumanMessagePromptTemplate
+
+from langchain.schema import Document
+from pprint import pprint
+from langgraph.graph import END, StateGraph, START
+
+from models.adaptive_rag.routing import RouteQuery
+from models.adaptive_rag.grading import (
+    GradeDocuments,
+    GradeHallucinations,
+    GradeAnswer,
+)
+from models.adaptive_rag.query import (
+    QueryRequest,
+    QueryResponse,
+)
+
+from models.adaptive_rag.prompts_library import (
+    system_router,
+    system_retriever_grader,
+    system_hallucination_grader,
+    system_answer_grader,
+    system_question_rewriter,
+    qa_prompt_template
+)
 
 from .utils import ConnectionManager
 
@@ -17,8 +53,11 @@ os.environ["TAVILY_API_KEY"] = config(
     "TAVILY_API_KEY", cast=str, default="tvly-dev-wXXXXXX"
 )
 
+# Initialize embedding model (do this ONCE)
+embedding_model = HuggingFaceEmbeddings(model_name="paraphrase-multilingual-mpnet-base-v2")
+
 # Initialize the DeepSeek chat model
-llm_chat = ChatDeepSeek(
+llm = ChatDeepSeek(
     model="deepseek-chat",
     temperature=0,
     max_tokens=None,
@@ -26,10 +65,358 @@ llm_chat = ChatDeepSeek(
     max_retries=2,
 )
 
+# Load data from ChromaDB
+db_folder = "chroma_db"
+db_path = os.path.join(os.getcwd(), db_folder)
+collection_name = "rag-chroma"
+vectorstore = Chroma(persist_directory=db_path, collection_name=collection_name, embedding_function=embedding_model)
+retriever = vectorstore.as_retriever()
+
+
+############################ LLM functions ############################
+# Routing to vectorstore or web search
+structured_llm_router = llm.with_structured_output(RouteQuery)
+# Prompt
+route_prompt = ChatPromptTemplate.from_messages(
+    [
+        ("system", system_router),
+        ("human", "{question}"),
+    ]
+)
+question_router = route_prompt | structured_llm_router
+
+### Retrieval Grader
+structured_llm_grader = llm.with_structured_output(GradeDocuments)
+# Prompt
+grade_prompt = ChatPromptTemplate.from_messages(
+    [
+        ("system", system_retriever_grader),
+        ("human", "Retrieved document: \n\n {document} \n\n User question: {question}"),
+    ]
+)
+retrieval_grader = grade_prompt | structured_llm_grader
+
+### Generate
+# Create a PromptTemplate with the given prompt
+new_prompt_template = PromptTemplate(
+    input_variables=["context", "question"],
+    template=qa_prompt_template,
+)
+
+# Create a new HumanMessagePromptTemplate with the new PromptTemplate
+new_human_message_prompt_template = HumanMessagePromptTemplate(
+    prompt=new_prompt_template
+)
+prompt_qa = ChatPromptTemplate.from_messages([new_human_message_prompt_template])
+
+# Chain
+rag_chain = prompt_qa | llm | StrOutputParser()
+
+
+### Hallucination Grader
+structured_llm_grader = llm.with_structured_output(GradeHallucinations)
+
+# Prompt
+hallucination_prompt = ChatPromptTemplate.from_messages(
+    [
+        ("system", system_hallucination_grader),
+        ("human", "Set of facts: \n\n {documents} \n\n LLM generation: {generation}"),
+    ]
+)
+
+hallucination_grader = hallucination_prompt | structured_llm_grader
+
+### Answer Grader
+structured_llm_grader = llm.with_structured_output(GradeAnswer)
+
+# Prompt
+answer_prompt = ChatPromptTemplate.from_messages(
+    [
+        ("system", system_answer_grader),
+        ("human", "User question: \n\n {question} \n\n LLM generation: {generation}"),
+    ]
+)
+answer_grader = answer_prompt | structured_llm_grader
+
+### Question Re-writer
+# Prompt
+re_write_prompt = ChatPromptTemplate.from_messages(
+    [
+        ("system", system_question_rewriter),
+        (
+            "human",
+            "Here is the initial question: \n\n {question} \n Formulate an improved question.",
+        ),
+    ]
+)   
+question_rewriter = re_write_prompt | llm | StrOutputParser()
+
+### Search
+web_search_tool = TavilySearchResults(k=3)
+
+############### Graph functions ################
+
+def retrieve(state):
+    """
+    Retrieve documents
+
+    Args:
+        state (dict): The current graph state
+
+    Returns:
+        state (dict): New key added to state, documents, that contains retrieved documents
+    """
+    print("---RETRIEVE---")
+    question = state["question"]
+
+    # Retrieval
+    documents = retriever.invoke(question)
+
+    print(documents)
+    return {"documents": documents, "question": question}
+
+
+def generate(state):
+    """
+    Generate answer
+
+    Args:
+        state (dict): The current graph state
+
+    Returns:
+        state (dict): New key added to state, generation, that contains LLM generation
+    """
+    print("---GENERATE---")
+    question = state["question"]
+    documents = state["documents"]
+
+    # RAG generation
+    generation = rag_chain.invoke({"context": documents, "question": question})
+    return {"documents": documents, "question": question, "generation": generation}
+
+
+def grade_documents(state):
+    """
+    Determines whether the retrieved documents are relevant to the question.
+
+    Args:
+        state (dict): The current graph state
+
+    Returns:
+        state (dict): Updates documents key with only filtered relevant documents
+    """
+
+    print("---CHECK DOCUMENT RELEVANCE TO QUESTION---")
+    question = state["question"]
+    documents = state["documents"]
+
+    # Score each doc
+    filtered_docs = []
+    for d in documents:
+        score = retrieval_grader.invoke(
+            {"question": question, "document": d.page_content}
+        )
+        grade = score.binary_score
+        if grade == "yes":
+            print("---GRADE: DOCUMENT RELEVANT---")
+            filtered_docs.append(d)
+        else:
+            print("---GRADE: DOCUMENT NOT RELEVANT---")
+            continue
+    return {"documents": filtered_docs, "question": question}
+
+
+def transform_query(state):
+    """
+    Transform the query to produce a better question.
+
+    Args:
+        state (dict): The current graph state
+
+    Returns:
+        state (dict): Updates question key with a re-phrased question
+    """
+
+    print("---TRANSFORM QUERY---")
+    question = state["question"]
+    documents = state["documents"]
+
+    # Re-write question
+    better_question = question_rewriter.invoke({"question": question})
+    return {"documents": documents, "question": better_question}
+
+
+def web_search(state):
+    """
+    Web search based on the re-phrased question.
+
+    Args:
+        state (dict): The current graph state
+
+    Returns:
+        state (dict): Updates documents key with appended web results
+    """
+
+    print("---WEB SEARCH---")
+    question = state["question"]
+
+    # Web search
+    docs = web_search_tool.invoke({"query": question})
+    web_results = "\n".join([d["content"] for d in docs])
+    web_results = Document(page_content=web_results)
+
+    return {"documents": web_results, "question": question}
+
+
+### Edges ###
+def route_question(state):
+    """
+    Route question to web search or RAG.
+
+    Args:
+        state (dict): The current graph state
+
+    Returns:
+        str: Next node to call
+    """
+
+    print("---ROUTE QUESTION---")
+    question = state["question"]
+    source = question_router.invoke({"question": question})
+    if source.datasource == "web_search":
+        print("---ROUTE QUESTION TO WEB SEARCH---")
+        return "web_search"
+    elif source.datasource == "vectorstore":
+        print("---ROUTE QUESTION TO RAG---")
+        return "vectorstore"
+
+
+def decide_to_generate(state):
+    """
+    Determines whether to generate an answer, or re-generate a question.
+
+    Args:
+        state (dict): The current graph state
+
+    Returns:
+        str: Binary decision for next node to call
+    """
+
+    print("---ASSESS GRADED DOCUMENTS---")
+    state["question"]
+    filtered_documents = state["documents"]
+
+    if not filtered_documents:
+        # All documents have been filtered check_relevance
+        # We will re-generate a new query
+        print(
+            "---DECISION: ALL DOCUMENTS ARE NOT RELEVANT TO QUESTION, TRANSFORM QUERY---"
+        )
+        return "transform_query"
+    else:
+        # We have relevant documents, so generate answer
+        print("---DECISION: GENERATE---")
+        return "generate"
+
+
+def grade_generation_v_documents_and_question(state):
+    """
+    Determines whether the generation is grounded in the document and answers question.
+
+    Args:
+        state (dict): The current graph state
+
+    Returns:
+        str: Decision for next node to call
+    """
+
+    print("---CHECK HALLUCINATIONS---")
+    question = state["question"]
+    documents = state["documents"]
+    generation = state["generation"]
+
+    score = hallucination_grader.invoke(
+        {"documents": documents, "generation": generation}
+    )
+    grade = score.binary_score
+
+    # Check hallucination
+    if grade == "yes":
+        print("---DECISION: GENERATION IS GROUNDED IN DOCUMENTS---")
+        # Check question-answering
+        print("---GRADE GENERATION vs QUESTION---")
+        score = answer_grader.invoke({"question": question, "generation": generation})
+        grade = score.binary_score
+        if grade == "yes":
+            print("---DECISION: GENERATION ADDRESSES QUESTION---")
+            return "useful"
+        else:
+            print("---DECISION: GENERATION DOES NOT ADDRESS QUESTION---")
+            return "not useful"
+    else:
+        pprint("---DECISION: GENERATION IS NOT GROUNDED IN DOCUMENTS, RE-TRY---")
+        return "not supported"
+
+
+class GraphState(TypedDict):
+    """
+    Represents the state of our graph.
+
+    Attributes:
+        question: question
+        generation: LLM generation
+        documents: list of documents
+    """
+
+    question: str
+    generation: str
+    documents: List[str]
+
+workflow = StateGraph(GraphState)
+
+# Define the nodes
+workflow.add_node("web_search", web_search)  # web search
+workflow.add_node("retrieve", retrieve)  # retrieve
+workflow.add_node("grade_documents", grade_documents)  # grade documents
+workflow.add_node("generate", generate)  # generatae
+workflow.add_node("transform_query", transform_query)  # transform_query
+
+# Build graph
+workflow.add_conditional_edges(
+    START,
+    route_question,
+    {
+        "web_search": "web_search",
+        "vectorstore": "retrieve",
+    },
+)
+workflow.add_edge("web_search", "generate")
+workflow.add_edge("retrieve", "grade_documents")
+workflow.add_conditional_edges(
+    "grade_documents",
+    decide_to_generate,
+    {
+        "transform_query": "transform_query",
+        "generate": "generate",
+    },
+)
+workflow.add_edge("transform_query", "retrieve")
+workflow.add_conditional_edges(
+    "generate",
+    grade_generation_v_documents_and_question,
+    {
+        "not supported": "generate",
+        "useful": END,
+        "not useful": "transform_query",
+    },
+)
+
+# Compile
+app = workflow.compile()
+
 # Initialize the connection manager
 manager = ConnectionManager()
 
-
 @router.websocket("/ws")
 async def websocket_endpoint(websocket: WebSocket):
     await manager.connect(websocket)
@@ -44,7 +431,7 @@ async def websocket_endpoint(websocket: WebSocket):
                     and len(data_json) > 0
                     and "content" in data_json[0]
                 ):
-                    async for chunk in llm_chat.astream(data_json[0]["content"]):
+                    async for chunk in llm.astream(data_json[0]["content"]):
                         await manager.send_personal_message(
                             json.dumps({"type": "message", "payload": chunk.content}),
                             websocket,
@@ -56,9 +443,11 @@ async def websocket_endpoint(websocket: WebSocket):
 
             except json.JSONDecodeError:
                 await manager.broadcast("Invalid JSON message")
+
     except WebSocketDisconnect:
         manager.disconnect(websocket)
         await manager.broadcast("Client disconnected")
+
     except WebSocketDisconnect:
         manager.disconnect(websocket)
         await manager.broadcast("Client disconnected")
diff --git a/app/backend/models/adaptive_rag/prompts_library.py b/app/backend/models/adaptive_rag/prompts_library.py
new file mode 100644
index 0000000..143e1a6
--- /dev/null
+++ b/app/backend/models/adaptive_rag/prompts_library.py
@@ -0,0 +1,98 @@
+system_router = """You are an expert at routing a user question to a vectorstore or web search.
+The vectorstore contains documents related to any cancer/tumor disease. The question may be
+asked in a variety of languages, and may be phrased in a variety of ways.
+Use the vectorstore for questions on these topics. Otherwise, use web-search. 
+"""
+
+system_retriever_grader = """You are a grader assessing relevance of a retrieved document to a user question. \n 
+    If the document contains keyword(s) or semantic meaning related to the user question, grade it as relevant. \n
+    You must make sure to read carefully that the document contains a sentence or chunk of sentences that is exactly related but not closely related to the question subject (e.g. must be the exact disease or subject in question). \n
+    The goal is to filter out erroneous retrievals. \n
+    Must return a binary score 'yes' or 'no' score to indicate whether the document is relevant to the question."""
+
+system_hallucination_grader = """You are a grader assessing whether an LLM generation is grounded in / supported by a set of retrieved facts. \n 
+    Give a binary score 'yes' or 'no'. 'Yes' means that the answer is grounded in / supported by the set of facts."""
+
+system_answer_grader = """You are a grader assessing whether an answer addresses / resolves a question \n 
+    Give a binary score 'yes' or 'no'. Yes' means that the answer resolves the question."""
+
+system_question_rewriter = """You a question re-writer that converts an input question to a better version that is optimized \n 
+    for vectorstore retrieval. Look at the input and try to reason about the underlying semantic intent / meaning."""
+
+# prompt for question answering based on retrieved documents
+qa_prompt_template = """You are an expert at answering questions based on the following retrieved context.\n
+Before answering the question, you must have your own thought process what are the general scopes to cover when answering this question, step-by-step. Do not include this thought process in the answer.\n
+Then, given your thought process, you must read the provided context carefully and extract the relevant information.\n
+
+If the question is about medical question, you must answer the question in a medical way and assume that the audience is a junior doctor or a medical student: \n
+1. For cancer diseases, you must include comprehensive treatment advices that encompasses multidisciplinary treatment options that included but not limited to surgery, chemotherapy, radiology, internal medicine (drugs), nutritional ratio (protein), etc. You must layout out the treatment options like what are the first-line, second-line treatment etc.\n
+2. For cancer diseases, don't consider context that is not primary tumor/cancer related, unless the question specifically mention it is secondary tumor/cancer related.\n
+3. If the question didn't state the stage of the cancer disease, you must reply with treatment options for each stage of the cancer disease, if they are availalbe in the provided context. If they are not available in the provided context, give a general one.\n
+
+You must not use any information that is not present in the provided context to answer the question. Make sure to remove those information not present in the provided context.\n
+If you don't know the answer, just say that you don't know.\n
+Provide the answer in a concise and organized manner. \n
+
+Question: {question} \n
+Context: {context} \n
+Answer:
+"""
+
+
+# Evaluation
+CORRECTNESS_PROMPT = """You are an impartial judge. Evaluate Student Answer against Ground Truth for conceptual similarity and correctness. 
+You may also be given additional information that was used by the model to generate the output.
+
+Your task is to determine a numerical score called correctness based on the Student Answer and Ground Truth.
+A definition of correctness and a grading rubric are provided below.
+You must use the grading rubric to determine your score.
+
+Metric definition:
+Correctness assesses the degree to which a provided Student Answer aligns with factual accuracy, completeness, logical 
+consistency, and precise terminology of the Ground Truth. It evaluates the intrinsic validity of the Student Answer , independent of any 
+external context. A higher score indicates a higher adherence to factual accuracy, completeness, logical consistency, 
+and precise terminology of the Ground Truth.
+
+Grading rubric:
+Correctness: Below are the details for different scores: 
+ - 1: Major factual errors, highly incomplete, illogical, and uses incorrect terminology.
+ - 2: Significant factual errors, incomplete, noticeable logical flaws, and frequent terminology errors.
+ - 3: Minor factual errors, somewhat incomplete, minor logical inconsistencies, and occasional terminology errors.
+ - 4: Few to no factual errors, mostly complete, strong logical consistency, and accurate terminology.
+ - 5: Accurate, complete, logically consistent, and uses precise terminology.
+ 
+ Reminder:
+  - Carefully read the Student Answer and Ground Truth
+  - Check for factual accuracy and completeness of Student Answer compared to the Ground Truth
+  - Focus on correctness of information rather than style or verbosity
+  - The goal is to evaluate factual correctness and completeness of the Student Answer.
+  - Please provide your answer score only with the numerical number between 1 and 5. No score: or other text is allowed.
+
+"""
+
+FAITHFULNESS_PROMPT = """You are an impartial judge. Evaluate output against context for faithfulness. 
+You may also be given additional information that was used by the model to generate the Output.
+
+Your task is to determine a numerical score called faithfulness based on the output and context.
+A definition of faithfulness and a grading rubric are provided below.
+You must use the grading rubric to determine your score.
+
+Metric definition:
+Faithfulness is only evaluated with the provided output and context. Faithfulness assesses how much of the 
+provided output is factually consistent with the provided context. A higher score indicates that a higher proportion of 
+claims present in the output can be derived from the provided context. Faithfulness does not consider how much extra 
+information from the context is not present in the output.
+
+Grading rubric:
+Faithfulness: Below are the details for different scores:
+- Score 1: None of the claims in the output can be inferred from the provided context.
+- Score 2: Some of the claims in the output can be inferred from the provided context, but the majority of the output is missing from, inconsistent with, or contradictory to the provided context.
+- Score 3: Half or more of the claims in the output can be inferred from the provided context.
+- Score 4: Most of the claims in the output can be inferred from the provided context, with very little information that is not directly supported by the provided context.
+- Score 5: All of the claims in the output are directly supported by the provided context, demonstrating high faithfulness to the provided context.
+
+Reminder:
+- Carefully read the output and context
+- Focus on the information instead of the writing style or verbosity.
+- Please provide your answer score only with the numerical number between 1 and 5, according to the grading rubric above. No score: or other text is allowed.  
+"""
\ No newline at end of file
diff --git a/app/backend/utils/initialize_sentence_transformer.py b/app/backend/utils/initialize_sentence_transformer.py
new file mode 100644
index 0000000..7622b15
--- /dev/null
+++ b/app/backend/utils/initialize_sentence_transformer.py
@@ -0,0 +1,15 @@
+from decouple import config
+from sentence_transformers import SentenceTransformer
+import os
+
+EMBEDDING_MODEL = config("EMBEDDING_MODEL", cast=str, default="paraphrase-multilingual-mpnet-base-v2")
+
+# Initialize embedding model
+model = SentenceTransformer(EMBEDDING_MODEL) 
+
+# create directory if not exists
+if not os.path.exists("./transformer_model"):
+    os.makedirs("./transformer_model")
+    
+# save the model
+model.save("./transformer_model/paraphrase-multilingual-mpnet-base-v2")
diff --git a/app/docker-compose.yml b/app/docker-compose.yml
index 6e9ab35..6c59c90 100644
--- a/app/docker-compose.yml
+++ b/app/docker-compose.yml
@@ -37,13 +37,13 @@ services:
     environment:
       LOG_LEVEL: "DEBUG"
 
-  tests:
-    build:
-      context: ./tests
-    container_name: tests-aimingmedai
-    # depends_on:
-    #   - backend
-    #   - frontend
-    environment:
-      FRONTEND_URL: http://frontend:80
-      BACKEND_URL: http://backend:80
+  # tests:
+  #   build:
+  #     context: ./tests
+  #   container_name: tests-aimingmedai
+  #   # depends_on:
+  #   #   - backend
+  #   #   - frontend
+  #   environment:
+  #     FRONTEND_URL: http://frontend:80
+  #     BACKEND_URL: http://backend:80

From 896d38e79f72031bb8858e8ae30312f44beadb50 Mon Sep 17 00:00:00 2001
From: leehk <leehongkai@gmail.com>
Date: Fri, 25 Apr 2025 10:47:21 +0800
Subject: [PATCH 02/11] working quetioning for websearch

---
 app/backend/Dockerfile                        | 19 +++---
 app/backend/Pipfile                           |  3 +-
 app/backend/Pipfile.lock                      | 65 ++++++++++---------
 app/backend/api/chatbot.py                    | 14 +++-
 app/backend/main.py                           | 10 +++
 .../utils/initialize_sentence_transformer.py  |  2 +-
 app/frontend/src/App.tsx                      |  9 ++-
 app/frontend/vite.config.ts                   |  2 +-
 8 files changed, 76 insertions(+), 48 deletions(-)

diff --git a/app/backend/Dockerfile b/app/backend/Dockerfile
index 929fda7..0659ccd 100644
--- a/app/backend/Dockerfile
+++ b/app/backend/Dockerfile
@@ -1,5 +1,5 @@
 # pull official base image
-FROM python:3.11-slim-bullseye
+FROM python:3.11-slim-bookworm
 
 # create directory for the app user
 RUN mkdir -p /home/app
@@ -18,16 +18,20 @@ ENV PYTHONDONTWRITEBYTECODE=1
 ENV PYTHONUNBUFFERED=1
 ENV ENVIRONMENT=dev
 ENV TESTING=1
+ENV CUDA_VISIBLE_DEVICES=""
+
+COPY Pipfile $APP_HOME/
+RUN pip install -i https://pypi.tuna.tsinghua.edu.cn/simple pipenv && rm -rf ~/.cache/pip
+RUN pipenv install --deploy --dev --no-cache-dir
+RUN pipenv run pip install torch --force-reinstall --no-cache-dir
+
+# remove all cached files not needed to save space
+RUN pip cache purge
+RUN rm -rf /root/.cache
 
 # add app
 COPY . $APP_HOME
 
-# install python dependencies
-RUN pip install -i https://pypi.tuna.tsinghua.edu.cn/simple pipenv && rm -rf ~/.cache/pip
-RUN pipenv install --deploy --dev
-RUN pipenv install --index https://download.pytorch.org/whl/cpu torch
-
-# chown all the files to the app user
 # Create cache directory and set permissions
 RUN mkdir -p /home/app/.cache/huggingface
 RUN chown -R app:app /home/app/.cache/huggingface
@@ -43,7 +47,6 @@ RUN pipenv run python utils/initialize_sentence_transformer.py
 # # pytest
 # RUN pipenv run pytest tests --disable-warnings
 
-
 # expose the port the app runs on
 EXPOSE 80
 
diff --git a/app/backend/Pipfile b/app/backend/Pipfile
index ec4a67a..88c66ae 100644
--- a/app/backend/Pipfile
+++ b/app/backend/Pipfile
@@ -13,13 +13,14 @@ python-decouple = "==3.8"
 pyyaml = "==6.0.1"
 docker = "==6.1.3"
 chromadb = "==0.6.3"
-sentence-transformers = "==3.4.1"
 langchain = "==0.3.20"
 langgraph = "==0.3.5"
 langchain-community = "==0.3.19"
 tavily-python = "==0.5.1"
 langchain_huggingface = "==0.1.2"
 langchain-deepseek = "==0.1.2"
+torch = "==2.1.0"
+sentence-transformers = "*"
 
 [dev-packages]
 httpx = "==0.26.0"
diff --git a/app/backend/Pipfile.lock b/app/backend/Pipfile.lock
index 7f6a424..4b839ce 100644
--- a/app/backend/Pipfile.lock
+++ b/app/backend/Pipfile.lock
@@ -1,7 +1,7 @@
 {
     "_meta": {
         "hash": {
-            "sha256": "466cd477ffba612eaafadf862b617b4a423203028505d06d1dd2261515ca386d"
+            "sha256": "da09b5aceb8173f07c9f2b67f9e9b47b61bfa88a69253b3bd2f8a706af1aaed3"
         },
         "pipfile-spec": 6,
         "requires": {
@@ -1418,11 +1418,11 @@
         },
         "openai": {
             "hashes": [
-                "sha256:fb3ea907efbdb1bcfd0c44507ad9c961afd7dce3147292b54505ecfd17be8fd1",
-                "sha256:fe6f932d2ded3b429ff67cc9ad118c71327db32eb9d32dd723de3acfca337125"
+                "sha256:a712b50e78cf78e6d7b2a8f69c4978243517c2c36999756673e07a14ce37dc0a",
+                "sha256:fd2bfaf4608f48102d6b74f9e11c5ecaa058b60dad9c36e409c12477dfd91fb2"
             ],
             "markers": "python_version >= '3.8'",
-            "version": "==1.75.0"
+            "version": "==1.76.0"
         },
         "opentelemetry-api": {
             "hashes": [
@@ -2349,12 +2349,12 @@
         },
         "sentence-transformers": {
             "hashes": [
-                "sha256:68daa57504ff548340e54ff117bd86c1d2f784b21e0fb2689cf3272b8937b24b",
-                "sha256:e026dc6d56801fd83f74ad29a30263f401b4b522165c19386d8bc10dcca805da"
+                "sha256:382a7f6be1244a100ce40495fb7523dbe8d71b3c10b299f81e6b735092b3b8ca",
+                "sha256:f125ffd1c727533e0eca5d4567de72f84728de8f7482834de442fd90c2c3d50b"
             ],
             "index": "pypi",
             "markers": "python_version >= '3.9'",
-            "version": "==3.4.1"
+            "version": "==4.1.0"
         },
         "shellingham": {
             "hashes": [
@@ -2454,11 +2454,11 @@
         },
         "sympy": {
             "hashes": [
-                "sha256:9cebf7e04ff162015ce31c9c6c9144daa34a93bd082f54fd8f12deca4f47515f",
-                "sha256:db36cdc64bf61b9b24578b6f7bab1ecdd2452cf008f34faa33776680c26d66f8"
+                "sha256:54612cf55a62755ee71824ce692986f23c88ffa77207b30c1368eda4a7060f73",
+                "sha256:b27fd2c6530e0ab39e275fc9b683895367e51d5da91baa8d3d64db2565fec4d9"
             ],
             "markers": "python_version >= '3.8'",
-            "version": "==1.13.1"
+            "version": "==1.13.3"
         },
         "tavily-python": {
             "hashes": [
@@ -2545,29 +2545,30 @@
         },
         "torch": {
             "hashes": [
-                "sha256:09e06f9949e1a0518c5b09fe95295bc9661f219d9ecb6f9893e5123e10696628",
-                "sha256:265f70de5fd45b864d924b64be1797f86e76c8e48a02c2a3a6fc7ec247d2226c",
-                "sha256:2bb8987f3bb1ef2675897034402373ddfc8f5ef0e156e2d8cfc47cacafdda4a9",
-                "sha256:46763dcb051180ce1ed23d1891d9b1598e07d051ce4c9d14307029809c4d64f7",
-                "sha256:4874a73507a300a5d089ceaff616a569e7bb7c613c56f37f63ec3ffac65259cf",
-                "sha256:510c73251bee9ba02ae1cb6c9d4ee0907b3ce6020e62784e2d7598e0cfa4d6cc",
-                "sha256:56eeaf2ecac90da5d9e35f7f35eb286da82673ec3c582e310a8d1631a1c02341",
-                "sha256:683410f97984103148e31b38a8631acf31c3034c020c0f4d26171e7626d8317a",
-                "sha256:6860df13d9911ac158f4c44031609700e1eba07916fff62e21e6ffa0a9e01961",
-                "sha256:7979834102cd5b7a43cc64e87f2f3b14bd0e1458f06e9f88ffa386d07c7446e1",
-                "sha256:7e1448426d0ba3620408218b50aa6ada88aeae34f7a239ba5431f6c8774b1239",
-                "sha256:94fc63b3b4bedd327af588696559f68c264440e2503cc9e6954019473d74ae21",
-                "sha256:9a610afe216a85a8b9bc9f8365ed561535c93e804c2a317ef7fabcc5deda0989",
-                "sha256:9ea955317cfcd3852b1402b62af258ce735c2edeee42ca9419b6bc889e5ae053",
-                "sha256:a0d5e1b9874c1a6c25556840ab8920569a7a4137afa8a63a32cee0bc7d89bd4b",
-                "sha256:b789069020c5588c70d5c2158ac0aa23fd24a028f34a8b4fcb8fcb4d7efcf5fb",
-                "sha256:bb2c6c3e65049f081940f5ab15c9136c7de40d3f01192541c920a07c7c585b7e",
-                "sha256:c4f103a49830ce4c7561ef4434cc7926e5a5fe4e5eb100c19ab36ea1e2b634ab",
-                "sha256:ccbd0320411fe1a3b3fec7b4d3185aa7d0c52adac94480ab024b5c8f74a0bf1d",
-                "sha256:ff96f4038f8af9f7ec4231710ed4549da1bdebad95923953a25045dcf6fd87e2"
+                "sha256:05661c32ec14bc3a157193d0f19a7b19d8e61eb787b33353cad30202c295e83b",
+                "sha256:0bd691efea319b14ef239ede16d8a45c246916456fa3ed4f217d8af679433cc6",
+                "sha256:101c139152959cb20ab370fc192672c50093747906ee4ceace44d8dd703f29af",
+                "sha256:2224622407ca52611cbc5b628106fde22ed8e679031f5a99ce286629fc696128",
+                "sha256:2419cf49aaf3b2336c7aa7a54a1b949fa295b1ae36f77e2aecb3a74e3a947255",
+                "sha256:3cd1dedff13884d890f18eea620184fb4cd8fd3c68ce3300498f427ae93aa962",
+                "sha256:421739685eba5e0beba42cb649740b15d44b0d565c04e6ed667b41148734a75b",
+                "sha256:458a6d6d8f7d2ccc348ac4d62ea661b39a3592ad15be385bebd0a31ced7e00f4",
+                "sha256:556d8dd3e0c290ed9d4d7de598a213fb9f7c59135b4fee144364a8a887016a55",
+                "sha256:5c3bfa91ce25ba10116c224c59d5b64cdcce07161321d978bd5a1f15e1ebce72",
+                "sha256:601b0a2a9d9233fb4b81f7d47dca9680d4f3a78ca3f781078b6ad1ced8a90523",
+                "sha256:6ad491e70dbe4288d17fdbfc7fbfa766d66cbe219bc4871c7a8096f4a37c98df",
+                "sha256:761822761fffaa1c18a62c5deb13abaa780862577d3eadc428f1daa632536905",
+                "sha256:8132efb782cd181cc2dcca5e58effbe4217cdb2581206ac71466d535bf778867",
+                "sha256:a04a0296d47f28960f51c18c5489a8c3472f624ec3b5bcc8e2096314df8c3342",
+                "sha256:a6b7438a90a870e4cdeb15301519ae6c043c883fcd224d303c5b118082814767",
+                "sha256:bf57f8184b2c317ef81fb33dc233ce4d850cd98ef3f4a38be59c7c1572d175db",
+                "sha256:c8bf7eaf9514465e5d9101e05195183470a6215bb50295c61b52302a04edb690",
+                "sha256:de7d63c6ecece118684415a3dbd4805af4a4c1ee1490cccf7405d8c240a481b4",
+                "sha256:fb7bf0cc1a3db484eb5d713942a93172f3bac026fcb377a0cd107093d2eba777"
             ],
-            "markers": "python_full_version >= '3.9.0'",
-            "version": "==2.6.0"
+            "index": "pypi",
+            "markers": "python_full_version >= '3.8.0'",
+            "version": "==2.1.0"
         },
         "tqdm": {
             "hashes": [
diff --git a/app/backend/api/chatbot.py b/app/backend/api/chatbot.py
index 0b617db..95d6589 100644
--- a/app/backend/api/chatbot.py
+++ b/app/backend/api/chatbot.py
@@ -430,12 +430,20 @@ async def websocket_endpoint(websocket: WebSocket):
                     isinstance(data_json, list)
                     and len(data_json) > 0
                     and "content" in data_json[0]
-                ):
-                    async for chunk in llm.astream(data_json[0]["content"]):
+                ):  
+                    inputs = {
+                        "question": data_json[0]["content"]
+                    }
+                    async for chunk in app.astream(inputs):
                         await manager.send_personal_message(
-                            json.dumps({"type": "message", "payload": chunk.content}),
+                            json.dumps({"type": "message", "payload": chunk.get("content", str(chunk))}),
                             websocket,
                         )
+                    # Send a final 'done' message to signal completion
+                    await manager.send_personal_message(
+                        json.dumps({"type": "done"}),
+                        websocket,
+                    )
                 else:
                     await manager.send_personal_message(
                         "Invalid message format", websocket
diff --git a/app/backend/main.py b/app/backend/main.py
index 59a6ea7..73580c3 100644
--- a/app/backend/main.py
+++ b/app/backend/main.py
@@ -26,3 +26,13 @@ app.add_middleware(
     allow_methods=["*"],
     allow_headers=["*"],
 )
+
+if __name__ == "__main__":
+    import uvicorn
+
+    uvicorn.run(
+        "main:app",
+        host="0.0.0.0",
+        port=8004,
+        reload=True
+    )
\ No newline at end of file
diff --git a/app/backend/utils/initialize_sentence_transformer.py b/app/backend/utils/initialize_sentence_transformer.py
index 7622b15..e7d6c48 100644
--- a/app/backend/utils/initialize_sentence_transformer.py
+++ b/app/backend/utils/initialize_sentence_transformer.py
@@ -5,7 +5,7 @@ import os
 EMBEDDING_MODEL = config("EMBEDDING_MODEL", cast=str, default="paraphrase-multilingual-mpnet-base-v2")
 
 # Initialize embedding model
-model = SentenceTransformer(EMBEDDING_MODEL) 
+model = SentenceTransformer(EMBEDDING_MODEL, device="cpu")
 
 # create directory if not exists
 if not os.path.exists("./transformer_model"):
diff --git a/app/frontend/src/App.tsx b/app/frontend/src/App.tsx
index 1950a04..ff773f9 100644
--- a/app/frontend/src/App.tsx
+++ b/app/frontend/src/App.tsx
@@ -12,6 +12,7 @@ const App: React.FC = () => {
   const [messages, setMessages] = useState<Message[]>([]);
   const [newMessage, setNewMessage] = useState('');
   const [socket, setSocket] = useState<WebSocket | null>(null);
+  const [isLoading, setIsLoading] = useState(false);
   const mounted = useRef(false);
 
   useEffect(() => {
@@ -33,6 +34,8 @@ const App: React.FC = () => {
               return [...prevMessages, { sender: 'bot', text: data.payload }];
             }
           });
+        } else if (data.type === 'done') {
+          setIsLoading(false);
         } else {
           console.error('Unexpected message format:', data);
         }
@@ -54,6 +57,7 @@ const App: React.FC = () => {
 
   const sendMessage = () => {
     if (newMessage.trim() !== '') {
+      setIsLoading(true);
       const message = [{ role: 'user', content: newMessage }];
       setMessages((prevMessages) => [...prevMessages, { sender: 'user', text: newMessage }]);
       socket?.send(JSON.stringify(message));
@@ -80,9 +84,10 @@ const App: React.FC = () => {
             value={newMessage}
             onChange={(e) => setNewMessage(e.target.value)}
             className="flex-grow p-2 border border-gray-300 rounded-lg mr-2"
+            disabled={isLoading}
           />
-          <button onClick={sendMessage} className="bg-blue-500 hover:bg-blue-700 text-white font-bold py-2 px-4 rounded-lg">
-            Send
+          <button onClick={sendMessage} className="bg-blue-500 hover:bg-blue-700 text-white font-bold py-2 px-4 rounded-lg" disabled={isLoading}>
+            {isLoading ? 'Sending...' : 'Send'}
           </button>
         </div>
       </div>
diff --git a/app/frontend/vite.config.ts b/app/frontend/vite.config.ts
index 041bc3d..6684339 100644
--- a/app/frontend/vite.config.ts
+++ b/app/frontend/vite.config.ts
@@ -7,7 +7,7 @@ export default defineConfig({
   server: {
     host: true,
     strictPort: true,
-    port:   
+    port: 8004  
   },
   test: {
     globals: true,

From 4e5f9f57c264b6764eb531084701e03417fd4747 Mon Sep 17 00:00:00 2001
From: leehk <leehongkai@gmail.com>
Date: Fri, 25 Apr 2025 12:05:03 +0800
Subject: [PATCH 03/11] update working

---
 app/backend/api/chatbot.py                    |   56 +-
 .../models/adaptive_rag/prompts_library.py    |    2 +
 app/frontend/Dockerfile.test                  |    2 +-
 app/frontend/package-lock.json                | 1460 ++++++++++++++---
 app/frontend/package.json                     |    5 +-
 app/frontend/src/App.tsx                      |  146 +-
 6 files changed, 1388 insertions(+), 283 deletions(-)

diff --git a/app/backend/api/chatbot.py b/app/backend/api/chatbot.py
index 95d6589..3325cee 100644
--- a/app/backend/api/chatbot.py
+++ b/app/backend/api/chatbot.py
@@ -435,10 +435,58 @@ async def websocket_endpoint(websocket: WebSocket):
                         "question": data_json[0]["content"]
                     }
                     async for chunk in app.astream(inputs):
-                        await manager.send_personal_message(
-                            json.dumps({"type": "message", "payload": chunk.get("content", str(chunk))}),
-                            websocket,
-                        )
+                        # Determine if chunk is intermediate or final
+                        if isinstance(chunk, dict):
+                            if len(chunk) == 1:
+                                step_name = list(chunk.keys())[0]
+                                step_value = chunk[step_name]
+                                # Check if this step contains the final answer
+                                if isinstance(step_value, dict) and 'generation' in step_value:
+                                    await manager.send_personal_message(
+                                        json.dumps({
+                                            "type": "final",
+                                            "title": "Answer",
+                                            "payload": step_value['generation']
+                                        }),
+                                        websocket,
+                                    )
+                                else:
+                                    await manager.send_personal_message(
+                                        json.dumps({
+                                            "type": "intermediate",
+                                            "title": step_name.replace('_', ' ').title(),
+                                            "payload": str(step_value)
+                                        }),
+                                        websocket,
+                                    )
+                            elif 'generation' in chunk:
+                                await manager.send_personal_message(
+                                    json.dumps({
+                                        "type": "final",
+                                        "title": "Answer",
+                                        "payload": chunk['generation']
+                                    }),
+                                    websocket,
+                                )
+                            else:
+                                await manager.send_personal_message(
+                                    json.dumps({
+                                        "type": "intermediate",
+                                        "title": "Step",
+                                        "payload": str(chunk)[:500]
+                                    }),
+                                    websocket,
+                                )
+                        else:
+                            # Fallback for non-dict chunks
+                            await manager.send_personal_message(
+                                json.dumps({
+                                    "type": "intermediate",
+                                    "title": "Step",
+                                    "payload": str(chunk)[:500]
+                                }),
+                                websocket,
+                            )
                     # Send a final 'done' message to signal completion
                     await manager.send_personal_message(
                         json.dumps({"type": "done"}),
diff --git a/app/backend/models/adaptive_rag/prompts_library.py b/app/backend/models/adaptive_rag/prompts_library.py
index 143e1a6..e172b1a 100644
--- a/app/backend/models/adaptive_rag/prompts_library.py
+++ b/app/backend/models/adaptive_rag/prompts_library.py
@@ -33,6 +33,8 @@ You must not use any information that is not present in the provided context to
 If you don't know the answer, just say that you don't know.\n
 Provide the answer in a concise and organized manner. \n
 
+Reformat the answer in a human-readable markdown format, include underlined or new lines to improve readability if needed.\n
+
 Question: {question} \n
 Context: {context} \n
 Answer:
diff --git a/app/frontend/Dockerfile.test b/app/frontend/Dockerfile.test
index ccac12f..7a7e152 100644
--- a/app/frontend/Dockerfile.test
+++ b/app/frontend/Dockerfile.test
@@ -12,7 +12,7 @@ ARG ENV_FILE=.env.test
 COPY ${ENV_FILE} /usr/src/app/.env
 
 # Copy dependency files and install dependencies
-RUN npm install && npm i --save-dev @types/jest
+RUN npm install && npm install --save-dev @types/jest
 
 EXPOSE 80
 CMD [ "npm", "run", "dev", "--", "--host", "0.0.0.0", "--port", "80" ]
\ No newline at end of file
diff --git a/app/frontend/package-lock.json b/app/frontend/package-lock.json
index cb428f7..05ccf27 100644
--- a/app/frontend/package-lock.json
+++ b/app/frontend/package-lock.json
@@ -8,10 +8,10 @@
       "name": "frontend",
       "version": "0.0.0",
       "dependencies": {
-        "@vitejs/plugin-react-swc": "^3.8.1",
         "daisyui": "^5.0.17",
         "react": "^19.0.0",
-        "react-dom": "^19.0.0"
+        "react-dom": "^19.0.0",
+        "react-markdown": "^10.1.0"
       },
       "devDependencies": {
         "@eslint/js": "^9.21.0",
@@ -507,6 +507,7 @@
       "cpu": [
         "ppc64"
       ],
+      "dev": true,
       "license": "MIT",
       "optional": true,
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+      "version": "6.0.1",
+      "resolved": "https://registry.npmjs.org/unist-util-visit-parents/-/unist-util-visit-parents-6.0.1.tgz",
+      "integrity": "sha512-L/PqWzfTP9lzzEa6CKs0k2nARxTdZduw3zyh8d2NVBnsyvHjSX4TWse388YrrQKbvI8w20fGjGlhgT96WwKykw==",
+      "license": "MIT",
+      "dependencies": {
+        "@types/unist": "^3.0.0",
+        "unist-util-is": "^6.0.0"
+      },
+      "funding": {
+        "type": "opencollective",
+        "url": "https://opencollective.com/unified"
+      }
+    },
     "node_modules/update-browserslist-db": {
       "version": "1.1.3",
       "resolved": "https://registry.npmjs.org/update-browserslist-db/-/update-browserslist-db-1.1.3.tgz",
@@ -5446,10 +6395,39 @@
       "dev": true,
       "license": "MIT"
     },
+    "node_modules/vfile": {
+      "version": "6.0.3",
+      "resolved": "https://registry.npmjs.org/vfile/-/vfile-6.0.3.tgz",
+      "integrity": "sha512-KzIbH/9tXat2u30jf+smMwFCsno4wHVdNmzFyL+T/L3UGqqk6JKfVqOFOZEpZSHADH1k40ab6NUIXZq422ov3Q==",
+      "license": "MIT",
+      "dependencies": {
+        "@types/unist": "^3.0.0",
+        "vfile-message": "^4.0.0"
+      },
+      "funding": {
+        "type": "opencollective",
+        "url": "https://opencollective.com/unified"
+      }
+    },
+    "node_modules/vfile-message": {
+      "version": "4.0.2",
+      "resolved": "https://registry.npmjs.org/vfile-message/-/vfile-message-4.0.2.tgz",
+      "integrity": "sha512-jRDZ1IMLttGj41KcZvlrYAaI3CfqpLpfpf+Mfig13viT6NKvRzWZ+lXz0Y5D60w6uJIBAOGq9mSHf0gktF0duw==",
+      "license": "MIT",
+      "dependencies": {
+        "@types/unist": "^3.0.0",
+        "unist-util-stringify-position": "^4.0.0"
+      },
+      "funding": {
+        "type": "opencollective",
+        "url": "https://opencollective.com/unified"
+      }
+    },
     "node_modules/vite": {
       "version": "6.2.6",
       "resolved": "https://registry.npmjs.org/vite/-/vite-6.2.6.tgz",
       "integrity": "sha512-9xpjNl3kR4rVDZgPNdTL0/c6ao4km69a/2ihNQbcANz8RuCOK3hQBmLSJf3bRKVQjVMda+YvizNE8AwvogcPbw==",
+      "dev": true,
       "license": "MIT",
       "dependencies": {
         "esbuild": "^0.25.0",
@@ -5848,7 +6826,7 @@
       "version": "2.7.1",
       "resolved": "https://registry.npmjs.org/yaml/-/yaml-2.7.1.tgz",
       "integrity": "sha512-10ULxpnOCQXxJvBgxsn9ptjq6uviG/htZKk9veJGhlqn3w/DxQ631zFF+nlQXLwmImeS5amR2dl2U8sg6U9jsQ==",
-      "devOptional": true,
+      "dev": true,
       "license": "ISC",
       "bin": {
         "yaml": "bin.mjs"
@@ -5869,6 +6847,16 @@
       "funding": {
         "url": "https://github.com/sponsors/sindresorhus"
       }
+    },
+    "node_modules/zwitch": {
+      "version": "2.0.4",
+      "resolved": "https://registry.npmjs.org/zwitch/-/zwitch-2.0.4.tgz",
+      "integrity": "sha512-bXE4cR/kVZhKZX/RjPEflHaKVhUVl85noU3v6b8apfQEc1x4A+zBxjZ4lN8LqGd6WZ3dl98pY4o717VFmoPp+A==",
+      "license": "MIT",
+      "funding": {
+        "type": "github",
+        "url": "https://github.com/sponsors/wooorm"
+      }
     }
   }
 }
diff --git a/app/frontend/package.json b/app/frontend/package.json
index 497b60f..6fbe931 100644
--- a/app/frontend/package.json
+++ b/app/frontend/package.json
@@ -14,7 +14,8 @@
   "dependencies": {
     "daisyui": "^5.0.17",
     "react": "^19.0.0",
-    "react-dom": "^19.0.0"
+    "react-dom": "^19.0.0",
+    "react-markdown": "^10.1.0"
   },
   "devDependencies": {
     "@eslint/js": "^9.21.0",
@@ -37,4 +38,4 @@
     "vite": "^6.2.0",
     "vitest": "^3.1.1"
   }
-}
\ No newline at end of file
+}
diff --git a/app/frontend/src/App.tsx b/app/frontend/src/App.tsx
index ff773f9..9516568 100644
--- a/app/frontend/src/App.tsx
+++ b/app/frontend/src/App.tsx
@@ -1,4 +1,5 @@
 import React, { useState, useEffect, useRef } from 'react';
+import ReactMarkdown from 'react-markdown';
 
 const BASE_DOMAIN_NAME_PORT = import.meta.env.REACT_APP_DOMAIN_NAME_PORT || 'localhost:8004';
 
@@ -8,58 +9,77 @@ interface Message {
   text: string;
 }
 
+interface ChatTurn {
+  question: string;
+  intermediateMessages: { title: string; payload: string }[];
+  finalAnswer: string | null;
+  isLoading: boolean;
+  showIntermediate: boolean;
+}
+
 const App: React.FC = () => {
   const [messages, setMessages] = useState<Message[]>([]);
+  const [intermediateMessages, setIntermediateMessages] = useState<{title: string, payload: string}[]>([]);
+  const [finalAnswer, setFinalAnswer] = useState<string | null>(null);
+  const [isLoading, setIsLoading] = useState(false);
+  const [showIntermediate, setShowIntermediate] = useState(false);
   const [newMessage, setNewMessage] = useState('');
   const [socket, setSocket] = useState<WebSocket | null>(null);
-  const [isLoading, setIsLoading] = useState(false);
   const mounted = useRef(false);
 
   useEffect(() => {
-    mounted.current = true;
-    const ws = new WebSocket(`ws://${BASE_DOMAIN_NAME_PORT}/ws`);
-    setSocket(ws);
-    ws.onopen = () => {
-      console.log('WebSocket connection opened');
-    };
-    ws.onmessage = (event) => {
-      try {
-        const data = JSON.parse(event.data);
-        if (data.type === 'message' && data.payload && mounted.current) {
-          setMessages((prevMessages) => {
-            const lastMessage = prevMessages[prevMessages.length - 1];
-            if (lastMessage && lastMessage.sender === 'bot') {
-              return [...prevMessages.slice(0, -1), { ...lastMessage, text: lastMessage.text + data.payload }];
-            } else {
-              return [...prevMessages, { sender: 'bot', text: data.payload }];
+        mounted.current = true;
+        const ws = new WebSocket(`ws://${BASE_DOMAIN_NAME_PORT}/ws`);
+        setSocket(ws);
+        ws.onopen = () => {
+            console.log('WebSocket connection opened');
+        };
+        ws.onmessage = (event) => {
+            try {
+                const data = JSON.parse(event.data);
+                if (data.type === 'message' && data.payload && mounted.current) {
+                    // legacy support, treat as final
+                    setMessages((prevMessages) => {
+                        const lastMessage = prevMessages[prevMessages.length - 1];
+                        if (lastMessage && lastMessage.sender === 'bot') {
+                            return [...prevMessages.slice(0, -1), { ...lastMessage, text: lastMessage.text + data.payload }];
+                        } else {
+                            return [...prevMessages, { sender: 'bot', text: data.payload }];
+                        }
+                    });
+                    setFinalAnswer(data.payload);
+                } else if (data.type === 'intermediate') {
+                    setIntermediateMessages((prev) => [...prev, { title: data.title, payload: data.payload }]);
+                } else if (data.type === 'final') {
+                    setFinalAnswer(data.payload);
+                } else if (data.type === 'done') {
+                    setIsLoading(false);
+                } else {
+                    console.error('Unexpected message format:', data);
+                }
+            } catch (error) {
+                console.error('Error parsing message:', error);
             }
-          });
-        } else if (data.type === 'done') {
-          setIsLoading(false);
-        } else {
-          console.error('Unexpected message format:', data);
-        }
-      } catch (error) {
-        console.error('Error parsing message:', error);
-      }
-    };
-    ws.onclose = () => {
-      console.log('WebSocket connection closed');
-    };
-    ws.onerror = (error) => {
-      console.error('WebSocket error:', error);
-    };
-    return () => {
-      mounted.current = false;
-      ws.close();
-    };
-  }, []);
+        };
+        ws.onclose = () => {
+            console.log('WebSocket connection closed');
+        };
+        ws.onerror = (error) => {
+            console.error('WebSocket error:', error);
+        };
+        return () => {
+            mounted.current = false;
+            ws.close();
+        };
+    }, []);
 
   const sendMessage = () => {
-    if (newMessage.trim() !== '') {
+    if (newMessage.trim() !== '' && !isLoading) {
       setIsLoading(true);
-      const message = [{ role: 'user', content: newMessage }];
+      setIntermediateMessages([]);
+      setFinalAnswer(null);
       setMessages((prevMessages) => [...prevMessages, { sender: 'user', text: newMessage }]);
+      const message = [{ role: 'user', content: newMessage }];
       socket?.send(JSON.stringify(message));
       setNewMessage('');
     }
@@ -76,6 +96,52 @@ const App: React.FC = () => {
             {msg.text}
           </div>
         ))}
+        {/* Status box for intermediate steps */}
+        {intermediateMessages.length > 0 && (
+          <div className="mb-4">
+            <div className="bg-blue-50 border border-blue-300 rounded-lg p-3 shadow-sm flex items-center">
+              {/* Spinner icon */}
+              {isLoading && (
+                <svg className="animate-spin h-5 w-5 text-blue-500 mr-2" xmlns="http://www.w3.org/2000/svg" fill="none" viewBox="0 0 24 24">
+                  <circle className="opacity-25" cx="12" cy="12" r="10" stroke="currentColor" strokeWidth="4"></circle>
+                  <path className="opacity-75" fill="currentColor" d="M4 12a8 8 0 018-8v8z"></path>
+                </svg>
+              )}
+              <span className="font-semibold text-blue-700 mr-2">Working on:</span>
+              {/* Key steps summary */}
+              <div className="flex flex-wrap gap-2">
+                {intermediateMessages.map((msg, idx) => (
+                  <span key={idx} className="bg-blue-100 text-blue-700 px-2 py-1 rounded text-xs font-medium border border-blue-200">
+                    {msg.title}
+                  </span>
+                ))}
+              </div>
+              <button
+                className="ml-auto text-xs text-blue-600 underline focus:outline-none"
+                onClick={() => setShowIntermediate((v) => !v)}
+              >
+                {showIntermediate ? 'Hide details' : 'Show details'}
+              </button>
+            </div>
+            {/* Expanded details */}
+            {showIntermediate && (
+              <div className="bg-white border border-blue-200 rounded-b-lg p-3 mt-1 text-xs max-h-64 overflow-y-auto">
+                {intermediateMessages.map((msg, idx) => (
+                  <div key={idx} className="mb-3">
+                    <div className="font-bold text-blue-700 mb-1">{msg.title}</div>
+                    <pre className="whitespace-pre-wrap break-words text-gray-800">{msg.payload}</pre>
+                  </div>
+                ))}
+              </div>
+            )}
+          </div>
+        )}
+        {/* Final answer for this question */}
+        {finalAnswer && (
+          <div className="p-4 rounded-lg mb-2 bg-gray-200 text-gray-800 prose max-w-none">
+            <ReactMarkdown>{finalAnswer}</ReactMarkdown>
+          </div>
+        )}
       </div>
       <div className="p-4 border-t border-gray-300">
         <div className="flex">

From c1b2f27f5553cb664e15e7d77cfae330f9f5138a Mon Sep 17 00:00:00 2001
From: leehk <leehongkai@gmail.com>
Date: Fri, 25 Apr 2025 14:56:40 +0800
Subject: [PATCH 04/11] update with working output formated

---
 app/backend/api/chatbot.py                    |   5 +-
 .../models/adaptive_rag/prompts_library.py    |  61 ---
 app/frontend/package-lock.json                | 449 +++++++++++++-----
 app/frontend/package.json                     |   4 +-
 app/frontend/src/App.tsx                      | 249 +++++-----
 app/frontend/tailwind.config.js               |   5 +-
 6 files changed, 489 insertions(+), 284 deletions(-)

diff --git a/app/backend/api/chatbot.py b/app/backend/api/chatbot.py
index 3325cee..ae5c094 100644
--- a/app/backend/api/chatbot.py
+++ b/app/backend/api/chatbot.py
@@ -473,7 +473,7 @@ async def websocket_endpoint(websocket: WebSocket):
                                     json.dumps({
                                         "type": "intermediate",
                                         "title": "Step",
-                                        "payload": str(chunk)[:500]
+                                        "payload": str(chunk)
                                     }),
                                     websocket,
                                 )
@@ -483,10 +483,11 @@ async def websocket_endpoint(websocket: WebSocket):
                                 json.dumps({
                                     "type": "intermediate",
                                     "title": "Step",
-                                    "payload": str(chunk)[:500]
+                                    "payload": str(chunk)
                                 }),
                                 websocket,
                             )
+                    print("Final output:", chunk)
                     # Send a final 'done' message to signal completion
                     await manager.send_personal_message(
                         json.dumps({"type": "done"}),
diff --git a/app/backend/models/adaptive_rag/prompts_library.py b/app/backend/models/adaptive_rag/prompts_library.py
index e172b1a..3e9d2ce 100644
--- a/app/backend/models/adaptive_rag/prompts_library.py
+++ b/app/backend/models/adaptive_rag/prompts_library.py
@@ -33,68 +33,7 @@ You must not use any information that is not present in the provided context to
 If you don't know the answer, just say that you don't know.\n
 Provide the answer in a concise and organized manner. \n
 
-Reformat the answer in a human-readable markdown format, include underlined or new lines to improve readability if needed.\n
-
 Question: {question} \n
 Context: {context} \n
 Answer:
-"""
-
-
-# Evaluation
-CORRECTNESS_PROMPT = """You are an impartial judge. Evaluate Student Answer against Ground Truth for conceptual similarity and correctness. 
-You may also be given additional information that was used by the model to generate the output.
-
-Your task is to determine a numerical score called correctness based on the Student Answer and Ground Truth.
-A definition of correctness and a grading rubric are provided below.
-You must use the grading rubric to determine your score.
-
-Metric definition:
-Correctness assesses the degree to which a provided Student Answer aligns with factual accuracy, completeness, logical 
-consistency, and precise terminology of the Ground Truth. It evaluates the intrinsic validity of the Student Answer , independent of any 
-external context. A higher score indicates a higher adherence to factual accuracy, completeness, logical consistency, 
-and precise terminology of the Ground Truth.
-
-Grading rubric:
-Correctness: Below are the details for different scores: 
- - 1: Major factual errors, highly incomplete, illogical, and uses incorrect terminology.
- - 2: Significant factual errors, incomplete, noticeable logical flaws, and frequent terminology errors.
- - 3: Minor factual errors, somewhat incomplete, minor logical inconsistencies, and occasional terminology errors.
- - 4: Few to no factual errors, mostly complete, strong logical consistency, and accurate terminology.
- - 5: Accurate, complete, logically consistent, and uses precise terminology.
- 
- Reminder:
-  - Carefully read the Student Answer and Ground Truth
-  - Check for factual accuracy and completeness of Student Answer compared to the Ground Truth
-  - Focus on correctness of information rather than style or verbosity
-  - The goal is to evaluate factual correctness and completeness of the Student Answer.
-  - Please provide your answer score only with the numerical number between 1 and 5. No score: or other text is allowed.
-
-"""
-
-FAITHFULNESS_PROMPT = """You are an impartial judge. Evaluate output against context for faithfulness. 
-You may also be given additional information that was used by the model to generate the Output.
-
-Your task is to determine a numerical score called faithfulness based on the output and context.
-A definition of faithfulness and a grading rubric are provided below.
-You must use the grading rubric to determine your score.
-
-Metric definition:
-Faithfulness is only evaluated with the provided output and context. Faithfulness assesses how much of the 
-provided output is factually consistent with the provided context. A higher score indicates that a higher proportion of 
-claims present in the output can be derived from the provided context. Faithfulness does not consider how much extra 
-information from the context is not present in the output.
-
-Grading rubric:
-Faithfulness: Below are the details for different scores:
-- Score 1: None of the claims in the output can be inferred from the provided context.
-- Score 2: Some of the claims in the output can be inferred from the provided context, but the majority of the output is missing from, inconsistent with, or contradictory to the provided context.
-- Score 3: Half or more of the claims in the output can be inferred from the provided context.
-- Score 4: Most of the claims in the output can be inferred from the provided context, with very little information that is not directly supported by the provided context.
-- Score 5: All of the claims in the output are directly supported by the provided context, demonstrating high faithfulness to the provided context.
-
-Reminder:
-- Carefully read the output and context
-- Focus on the information instead of the writing style or verbosity.
-- Please provide your answer score only with the numerical number between 1 and 5, according to the grading rubric above. No score: or other text is allowed.  
 """
\ No newline at end of file
diff --git a/app/frontend/package-lock.json b/app/frontend/package-lock.json
index 05ccf27..6f781a6 100644
--- a/app/frontend/package-lock.json
+++ b/app/frontend/package-lock.json
@@ -8,10 +8,12 @@
       "name": "frontend",
       "version": "0.0.0",
       "dependencies": {
+        "@tailwindcss/typography": "^0.5.16",
         "daisyui": "^5.0.17",
         "react": "^19.0.0",
         "react-dom": "^19.0.0",
-        "react-markdown": "^10.1.0"
+        "react-markdown": "^10.1.0",
+        "remark-gfm": "^4.0.1"
       },
       "devDependencies": {
         "@eslint/js": "^9.21.0",
@@ -46,7 +48,6 @@
       "version": "5.2.0",
       "resolved": "https://registry.npmjs.org/@alloc/quick-lru/-/quick-lru-5.2.0.tgz",
       "integrity": "sha512-UrcABB+4bUrFABwbluTIBErXwvbsU/V7TZWfmbgJfbkwiBuziS9gxdODUyuiecfdGQ85jglMW6juS3+z5TsKLw==",
-      "dev": true,
       "license": "MIT",
       "engines": {
         "node": ">=10"
@@ -1159,7 +1160,6 @@
       "version": "8.0.2",
       "resolved": "https://registry.npmjs.org/@isaacs/cliui/-/cliui-8.0.2.tgz",
       "integrity": "sha512-O8jcjabXaleOG9DQ0+ARXWZBTfnP4WNAqzuiJK7ll44AmxGKv/J2M4TPjxjY3znBCfvBXFzucm1twdyFybFqEA==",
-      "dev": true,
       "license": "ISC",
       "dependencies": {
         "string-width": "^5.1.2",
@@ -1177,7 +1177,6 @@
       "version": "0.3.8",
       "resolved": "https://registry.npmjs.org/@jridgewell/gen-mapping/-/gen-mapping-0.3.8.tgz",
       "integrity": "sha512-imAbBGkb+ebQyxKgzv5Hu2nmROxoDOXHh80evxdoXNOrvAnVx7zimzc1Oo5h9RlfV4vPXaE2iM5pOFbvOCClWA==",
-      "dev": true,
       "license": "MIT",
       "dependencies": {
         "@jridgewell/set-array": "^1.2.1",
@@ -1192,7 +1191,6 @@
       "version": "3.1.2",
       "resolved": "https://registry.npmjs.org/@jridgewell/resolve-uri/-/resolve-uri-3.1.2.tgz",
       "integrity": "sha512-bRISgCIjP20/tbWSPWMEi54QVPRZExkuD9lJL+UIxUKtwVJA8wW1Trb1jMs1RFXo1CBTNZ/5hpC9QvmKWdopKw==",
-      "dev": true,
       "license": "MIT",
       "engines": {
         "node": ">=6.0.0"
@@ -1202,7 +1200,6 @@
       "version": "1.2.1",
       "resolved": "https://registry.npmjs.org/@jridgewell/set-array/-/set-array-1.2.1.tgz",
       "integrity": "sha512-R8gLRTZeyp03ymzP/6Lil/28tGeGEzhx1q2k703KGWRAI1VdvPIXdG70VJc2pAMw3NA6JKL5hhFu1sJX0Mnn/A==",
-      "dev": true,
       "license": "MIT",
       "engines": {
         "node": ">=6.0.0"
@@ -1212,14 +1209,12 @@
       "version": "1.5.0",
       "resolved": "https://registry.npmjs.org/@jridgewell/sourcemap-codec/-/sourcemap-codec-1.5.0.tgz",
       "integrity": "sha512-gv3ZRaISU3fjPAgNsriBRqGWQL6quFx04YMPW/zD8XMLsU32mhCCbfbO6KZFLjvYpCZ8zyDEgqsgf+PwPaM7GQ==",
-      "dev": true,
       "license": "MIT"
     },
     "node_modules/@jridgewell/trace-mapping": {
       "version": "0.3.25",
       "resolved": "https://registry.npmjs.org/@jridgewell/trace-mapping/-/trace-mapping-0.3.25.tgz",
       "integrity": "sha512-vNk6aEwybGtawWmy/PzwnGDOjCkLWSD2wqvjGGAgOAwCGWySYXfYoxt00IJkTF+8Lb57DwOb3Aa0o9CApepiYQ==",
-      "dev": true,
       "license": "MIT",
       "dependencies": {
         "@jridgewell/resolve-uri": "^3.1.0",
@@ -1230,7 +1225,6 @@
       "version": "2.1.5",
       "resolved": "https://registry.npmjs.org/@nodelib/fs.scandir/-/fs.scandir-2.1.5.tgz",
       "integrity": "sha512-vq24Bq3ym5HEQm2NKCr3yXDwjc7vTsEThRDnkp2DK9p1uqLR+DHurm/NOTo0KG7HYHU7eppKZj3MyqYuMBf62g==",
-      "dev": true,
       "license": "MIT",
       "dependencies": {
         "@nodelib/fs.stat": "2.0.5",
@@ -1244,7 +1238,6 @@
       "version": "2.0.5",
       "resolved": "https://registry.npmjs.org/@nodelib/fs.stat/-/fs.stat-2.0.5.tgz",
       "integrity": "sha512-RkhPPp2zrqDAQA/2jNhnztcPAlv64XdhIp7a7454A5ovI7Bukxgt7MX7udwAu3zg1DcpPU0rz3VV1SeaqvY4+A==",
-      "dev": true,
       "license": "MIT",
       "engines": {
         "node": ">= 8"
@@ -1254,7 +1247,6 @@
       "version": "1.2.8",
       "resolved": "https://registry.npmjs.org/@nodelib/fs.walk/-/fs.walk-1.2.8.tgz",
       "integrity": "sha512-oGB+UxlgWcgQkgwo8GcEGwemoTFt3FIO9ababBmaGwXIoBKZ+GTy0pP185beGg7Llih/NSHSV2XAs1lnznocSg==",
-      "dev": true,
       "license": "MIT",
       "dependencies": {
         "@nodelib/fs.scandir": "2.1.5",
@@ -1268,7 +1260,6 @@
       "version": "0.11.0",
       "resolved": "https://registry.npmjs.org/@pkgjs/parseargs/-/parseargs-0.11.0.tgz",
       "integrity": "sha512-+1VkjdD0QBLPodGrJUeqarH8VAIvQODIbwh9XpP5Syisf7YoQgsJKPNFoqqLQlu+VQ/tVSshMR6loPMn8U+dPg==",
-      "dev": true,
       "license": "MIT",
       "optional": true,
       "engines": {
@@ -1555,6 +1546,34 @@
         "win32"
       ]
     },
+    "node_modules/@tailwindcss/typography": {
+      "version": "0.5.16",
+      "resolved": "https://registry.npmjs.org/@tailwindcss/typography/-/typography-0.5.16.tgz",
+      "integrity": "sha512-0wDLwCVF5V3x3b1SGXPCDcdsbDHMBe+lkFzBRaHeLvNi+nrrnZ1lA18u+OTWO8iSWU2GxUOCvlXtDuqftc1oiA==",
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       "license": "MIT",
       "dependencies": {
         "ansi-regex": "^5.0.1"
@@ -6767,7 +6992,6 @@
       "version": "6.2.1",
       "resolved": "https://registry.npmjs.org/ansi-styles/-/ansi-styles-6.2.1.tgz",
       "integrity": "sha512-bN798gFfQX+viw3R7yrGWRqnrN2oRkEkUjjl4JNn4E8GxxbjtG3FbrEIIY3l8/hrwUwIeCZvi4QuOTP4MErVug==",
-      "dev": true,
       "license": "MIT",
       "engines": {
         "node": ">=12"
@@ -6826,7 +7050,6 @@
       "version": "2.7.1",
       "resolved": "https://registry.npmjs.org/yaml/-/yaml-2.7.1.tgz",
       "integrity": "sha512-10ULxpnOCQXxJvBgxsn9ptjq6uviG/htZKk9veJGhlqn3w/DxQ631zFF+nlQXLwmImeS5amR2dl2U8sg6U9jsQ==",
-      "dev": true,
       "license": "ISC",
       "bin": {
         "yaml": "bin.mjs"
diff --git a/app/frontend/package.json b/app/frontend/package.json
index 6fbe931..b20fed2 100644
--- a/app/frontend/package.json
+++ b/app/frontend/package.json
@@ -12,10 +12,12 @@
     "test:run": "vitest run"
   },
   "dependencies": {
+    "@tailwindcss/typography": "^0.5.16",
     "daisyui": "^5.0.17",
     "react": "^19.0.0",
     "react-dom": "^19.0.0",
-    "react-markdown": "^10.1.0"
+    "react-markdown": "^10.1.0",
+    "remark-gfm": "^4.0.1"
   },
   "devDependencies": {
     "@eslint/js": "^9.21.0",
diff --git a/app/frontend/src/App.tsx b/app/frontend/src/App.tsx
index 9516568..a5e152c 100644
--- a/app/frontend/src/App.tsx
+++ b/app/frontend/src/App.tsx
@@ -1,9 +1,9 @@
 import React, { useState, useEffect, useRef } from 'react';
 import ReactMarkdown from 'react-markdown';
+import remarkGfm from 'remark-gfm';
 
 const BASE_DOMAIN_NAME_PORT = import.meta.env.REACT_APP_DOMAIN_NAME_PORT || 'localhost:8004';
 
-
 interface Message {
   sender: 'user' | 'bot';
   text: string;
@@ -18,130 +18,163 @@ interface ChatTurn {
 }
 
 const App: React.FC = () => {
-  const [messages, setMessages] = useState<Message[]>([]);
-  const [intermediateMessages, setIntermediateMessages] = useState<{title: string, payload: string}[]>([]);
-  const [finalAnswer, setFinalAnswer] = useState<string | null>(null);
-  const [isLoading, setIsLoading] = useState(false);
-  const [showIntermediate, setShowIntermediate] = useState(false);
+  const [chatTurns, setChatTurns] = useState<ChatTurn[]>([]);
   const [newMessage, setNewMessage] = useState('');
   const [socket, setSocket] = useState<WebSocket | null>(null);
   const mounted = useRef(false);
 
+  // Disable input/button if any job is running
+  const isJobRunning = chatTurns.some(turn => turn.isLoading);
+
   useEffect(() => {
-        mounted.current = true;
-        const ws = new WebSocket(`ws://${BASE_DOMAIN_NAME_PORT}/ws`);
-        setSocket(ws);
-        ws.onopen = () => {
-            console.log('WebSocket connection opened');
-        };
-        ws.onmessage = (event) => {
-            try {
-                const data = JSON.parse(event.data);
-                if (data.type === 'message' && data.payload && mounted.current) {
-                    // legacy support, treat as final
-                    setMessages((prevMessages) => {
-                        const lastMessage = prevMessages[prevMessages.length - 1];
-                        if (lastMessage && lastMessage.sender === 'bot') {
-                            return [...prevMessages.slice(0, -1), { ...lastMessage, text: lastMessage.text + data.payload }];
-                        } else {
-                            return [...prevMessages, { sender: 'bot', text: data.payload }];
-                        }
-                    });
-                    setFinalAnswer(data.payload);
-                } else if (data.type === 'intermediate') {
-                    setIntermediateMessages((prev) => [...prev, { title: data.title, payload: data.payload }]);
-                } else if (data.type === 'final') {
-                    setFinalAnswer(data.payload);
-                } else if (data.type === 'done') {
-                    setIsLoading(false);
-                } else {
-                    console.error('Unexpected message format:', data);
-                }
-            } catch (error) {
-                console.error('Error parsing message:', error);
-            }
-        };
-        ws.onclose = () => {
-            console.log('WebSocket connection closed');
-        };
-        ws.onerror = (error) => {
-            console.error('WebSocket error:', error);
-        };
-        return () => {
-            mounted.current = false;
-            ws.close();
-        };
-    }, []);
+    mounted.current = true;
+    const ws = new WebSocket(`ws://${BASE_DOMAIN_NAME_PORT}/ws`);
+    setSocket(ws);
+    ws.onopen = () => {
+      console.log('WebSocket connection opened');
+    };
+    ws.onmessage = (event) => {
+      try {
+        const data = JSON.parse(event.data);
+        setChatTurns((prevTurns) => {
+          if (prevTurns.length === 0) return prevTurns;
+          const lastTurn = prevTurns[prevTurns.length - 1];
+          if (data.type === 'intermediate') {
+            // Add intermediate message to the last turn
+            const updatedTurn = {
+              ...lastTurn,
+              intermediateMessages: [...lastTurn.intermediateMessages, { title: data.title, payload: data.payload }],
+            };
+            return [...prevTurns.slice(0, -1), updatedTurn];
+          } else if (data.type === 'final') {
+            // Set final answer for the last turn
+            const updatedTurn = {
+              ...lastTurn,
+              finalAnswer: data.payload,
+            };
+            return [...prevTurns.slice(0, -1), updatedTurn];
+          } else if (data.type === 'done') {
+            // Mark last turn as not loading
+            const updatedTurn = {
+              ...lastTurn,
+              isLoading: false,
+            };
+            return [...prevTurns.slice(0, -1), updatedTurn];
+          } else if (data.type === 'message' && data.payload && mounted.current) {
+            // legacy support, treat as final
+            const updatedTurn = {
+              ...lastTurn,
+              finalAnswer: (lastTurn.finalAnswer || '') + data.payload,
+            };
+            return [...prevTurns.slice(0, -1), updatedTurn];
+          }
+          return prevTurns;
+        });
+      } catch (error) {
+        console.error('Error parsing message:', error);
+      }
+    };
+    ws.onclose = () => {
+      console.log('WebSocket connection closed');
+    };
+    ws.onerror = (error) => {
+      console.error('WebSocket error:', error);
+    };
+    return () => {
+      mounted.current = false;
+      ws.close();
+    };
+  }, []);
 
   const sendMessage = () => {
-    if (newMessage.trim() !== '' && !isLoading) {
-      setIsLoading(true);
-      setIntermediateMessages([]);
-      setFinalAnswer(null);
-      setMessages((prevMessages) => [...prevMessages, { sender: 'user', text: newMessage }]);
+    if (newMessage.trim() !== '') {
+      setChatTurns((prev) => [
+        ...prev,
+        {
+          question: newMessage,
+          intermediateMessages: [],
+          finalAnswer: null,
+          isLoading: true,
+          showIntermediate: false,
+        },
+      ]);
       const message = [{ role: 'user', content: newMessage }];
       socket?.send(JSON.stringify(message));
       setNewMessage('');
     }
   };
 
+  const toggleShowIntermediate = (idx: number) => {
+    setChatTurns((prev) => prev.map((turn, i) => i === idx ? { ...turn, showIntermediate: !turn.showIntermediate } : turn));
+  };
+
   return (
     <div className="flex flex-col h-screen bg-gray-100">
       <div className="p-4">
         <h1 className="text-3xl font-bold text-center text-gray-800">Simple Chatbot</h1>
       </div>
       <div className="flex-grow overflow-y-auto p-4">
-        {messages.map((msg, index) => (
-          <div key={index} className={`p-4 rounded-lg mb-2 ${msg.sender === 'user' ? 'bg-blue-100 text-blue-800' : 'bg-gray-200 text-gray-800'}`}>
-            {msg.text}
-          </div>
-        ))}
-        {/* Status box for intermediate steps */}
-        {intermediateMessages.length > 0 && (
-          <div className="mb-4">
-            <div className="bg-blue-50 border border-blue-300 rounded-lg p-3 shadow-sm flex items-center">
-              {/* Spinner icon */}
-              {isLoading && (
-                <svg className="animate-spin h-5 w-5 text-blue-500 mr-2" xmlns="http://www.w3.org/2000/svg" fill="none" viewBox="0 0 24 24">
-                  <circle className="opacity-25" cx="12" cy="12" r="10" stroke="currentColor" strokeWidth="4"></circle>
-                  <path className="opacity-75" fill="currentColor" d="M4 12a8 8 0 018-8v8z"></path>
-                </svg>
-              )}
-              <span className="font-semibold text-blue-700 mr-2">Working on:</span>
-              {/* Key steps summary */}
-              <div className="flex flex-wrap gap-2">
-                {intermediateMessages.map((msg, idx) => (
-                  <span key={idx} className="bg-blue-100 text-blue-700 px-2 py-1 rounded text-xs font-medium border border-blue-200">
-                    {msg.title}
-                  </span>
-                ))}
-              </div>
-              <button
-                className="ml-auto text-xs text-blue-600 underline focus:outline-none"
-                onClick={() => setShowIntermediate((v) => !v)}
-              >
-                {showIntermediate ? 'Hide details' : 'Show details'}
-              </button>
-            </div>
-            {/* Expanded details */}
-            {showIntermediate && (
-              <div className="bg-white border border-blue-200 rounded-b-lg p-3 mt-1 text-xs max-h-64 overflow-y-auto">
-                {intermediateMessages.map((msg, idx) => (
-                  <div key={idx} className="mb-3">
-                    <div className="font-bold text-blue-700 mb-1">{msg.title}</div>
-                    <pre className="whitespace-pre-wrap break-words text-gray-800">{msg.payload}</pre>
+        {chatTurns.map((turn, idx) => (
+          <React.Fragment key={idx}>
+            {/* User question */}
+            <div className="p-4 rounded-lg mb-2 bg-blue-100 text-blue-800">{turn.question}</div>
+            {/* Status box for this question */}
+            {turn.intermediateMessages.length > 0 && (
+              <div className="mb-4">
+                <div className="bg-blue-50 border border-blue-300 rounded-lg p-3 shadow-sm flex items-center">
+                  {/* Spinner icon */}
+                  {turn.isLoading && (
+                    <svg className="animate-spin h-5 w-5 text-blue-500 mr-2" xmlns="http://www.w3.org/2000/svg" fill="none" viewBox="0 0 24 24">
+                      <circle className="opacity-25" cx="12" cy="12" r="10" stroke="currentColor" strokeWidth="4"></circle>
+                      <path className="opacity-75" fill="currentColor" d="M4 12a8 8 0 018-8v8z"></path>
+                    </svg>
+                  )}
+                  <span className="font-semibold text-blue-700 mr-2">Working on:</span>
+                  {/* Key steps summary */}
+                  <div className="flex flex-wrap gap-2">
+                    {turn.intermediateMessages.map((msg, i) => (
+                      <span key={i} className="bg-blue-100 text-blue-700 px-2 py-1 rounded text-xs font-medium border border-blue-200">
+                        {msg.title}
+                      </span>
+                    ))}
                   </div>
-                ))}
+                  <button
+                    className="ml-auto text-xs text-blue-600 flex items-center gap-1 px-2 py-1 rounded hover:bg-blue-100 focus:outline-none border border-transparent focus:border-blue-300 transition"
+                    onClick={() => toggleShowIntermediate(idx)}
+                    aria-expanded={turn.showIntermediate}
+                    title={turn.showIntermediate ? 'Hide details' : 'Show details'}
+                  >
+                    <svg
+                      className={`w-4 h-4 transition-transform duration-200 ${turn.showIntermediate ? 'rotate-180' : ''}`}
+                      fill="none"
+                      stroke="currentColor"
+                      viewBox="0 0 24 24"
+                      xmlns="http://www.w3.org/2000/svg"
+                    >
+                      <path strokeLinecap="round" strokeLinejoin="round" strokeWidth="2" d="M19 9l-7 7-7-7" />
+                    </svg>
+                  </button>
+                </div>
+                {/* Expanded details */}
+                {turn.showIntermediate && (
+                  <div className="bg-white border border-blue-200 rounded-b-lg p-3 mt-1 text-xs max-h-64 overflow-y-auto">
+                    {turn.intermediateMessages.map((msg, i) => (
+                      <div key={i} className="mb-3">
+                        <div className="font-bold text-blue-700 mb-1">{msg.title}</div>
+                        <pre className="whitespace-pre-wrap break-words text-gray-800">{msg.payload}</pre>
+                      </div>
+                    ))}
+                  </div>
+                )}
               </div>
             )}
-          </div>
-        )}
-        {/* Final answer for this question */}
-        {finalAnswer && (
-          <div className="p-4 rounded-lg mb-2 bg-gray-200 text-gray-800 prose max-w-none">
-            <ReactMarkdown>{finalAnswer}</ReactMarkdown>
-          </div>
-        )}
+            {/* Final answer for this question */}
+            {turn.finalAnswer && (
+              <div className="prose p-4 rounded-lg mb-2 bg-gray-200 text-gray-800">
+                <ReactMarkdown remarkPlugins={[remarkGfm]}>{turn.finalAnswer}</ReactMarkdown>              </div>
+            )}
+          </React.Fragment>
+        ))}
       </div>
       <div className="p-4 border-t border-gray-300">
         <div className="flex">
@@ -150,10 +183,14 @@ const App: React.FC = () => {
             value={newMessage}
             onChange={(e) => setNewMessage(e.target.value)}
             className="flex-grow p-2 border border-gray-300 rounded-lg mr-2"
-            disabled={isLoading}
+            disabled={isJobRunning}
           />
-          <button onClick={sendMessage} className="bg-blue-500 hover:bg-blue-700 text-white font-bold py-2 px-4 rounded-lg" disabled={isLoading}>
-            {isLoading ? 'Sending...' : 'Send'}
+          <button 
+            onClick={sendMessage} 
+            className="bg-blue-500 hover:bg-blue-700 text-white font-bold py-2 px-4 rounded-lg"
+            disabled={isJobRunning}
+          >
+            Send
           </button>
         </div>
       </div>
diff --git a/app/frontend/tailwind.config.js b/app/frontend/tailwind.config.js
index 0546a7b..1b38ab9 100644
--- a/app/frontend/tailwind.config.js
+++ b/app/frontend/tailwind.config.js
@@ -6,6 +6,9 @@ export default {
   theme: {
     extend: {},
   },
-  plugins: [require("daisyui")],
+  plugins: [
+    require('@tailwindcss/typography'),
+    require("daisyui"),
+  ],
 }
 

From 9a5303e15753bf23dc6d2aa46db02557908202f5 Mon Sep 17 00:00:00 2001
From: leehk <leehongkai@gmail.com>
Date: Fri, 25 Apr 2025 15:21:53 +0800
Subject: [PATCH 05/11] finalised prototype

---
 app/backend/api/chatbot.py | 1 -
 1 file changed, 1 deletion(-)

diff --git a/app/backend/api/chatbot.py b/app/backend/api/chatbot.py
index ae5c094..27b18bb 100644
--- a/app/backend/api/chatbot.py
+++ b/app/backend/api/chatbot.py
@@ -487,7 +487,6 @@ async def websocket_endpoint(websocket: WebSocket):
                                 }),
                                 websocket,
                             )
-                    print("Final output:", chunk)
                     # Send a final 'done' message to signal completion
                     await manager.send_personal_message(
                         json.dumps({"type": "done"}),

From 3752d85fde8784539f42682f46be417c84f2a78b Mon Sep 17 00:00:00 2001
From: leehk <leehongkai@gmail.com>
Date: Fri, 25 Apr 2025 15:45:10 +0800
Subject: [PATCH 06/11] updated

---
 app/backend/tests/api/test_chatbot.py         | 51 +++++++++++++++++++
 .../tests/models/adaptive_rag/test_grading.py | 14 +++++
 .../adaptive_rag/test_prompts_library.py      | 10 ++++
 .../tests/models/adaptive_rag/test_query.py   |  8 +++
 .../tests/models/adaptive_rag/test_routing.py |  6 +++
 app/backend/tests/test_config_and_main.py     | 10 ++++
 .../test_initialize_sentence_transformer.py   |  6 +++
 7 files changed, 105 insertions(+)
 create mode 100644 app/backend/tests/api/test_chatbot.py
 create mode 100644 app/backend/tests/models/adaptive_rag/test_grading.py
 create mode 100644 app/backend/tests/models/adaptive_rag/test_prompts_library.py
 create mode 100644 app/backend/tests/models/adaptive_rag/test_query.py
 create mode 100644 app/backend/tests/models/adaptive_rag/test_routing.py
 create mode 100644 app/backend/tests/test_config_and_main.py
 create mode 100644 app/backend/tests/utils/test_initialize_sentence_transformer.py

diff --git a/app/backend/tests/api/test_chatbot.py b/app/backend/tests/api/test_chatbot.py
new file mode 100644
index 0000000..0fd95ac
--- /dev/null
+++ b/app/backend/tests/api/test_chatbot.py
@@ -0,0 +1,51 @@
+import pytest
+from fastapi.testclient import TestClient
+from unittest.mock import patch, MagicMock
+from fastapi import WebSocket
+import sys
+import types
+
+# Patch langchain and other heavy dependencies for import
+sys.modules['langchain_deepseek'] = MagicMock()
+sys.modules['langchain_huggingface'] = MagicMock()
+sys.modules['langchain_community.vectorstores.chroma'] = MagicMock()
+sys.modules['langchain_community.tools.tavily_search'] = MagicMock()
+sys.modules['langchain_core.prompts'] = MagicMock()
+sys.modules['langchain_core.output_parsers'] = MagicMock()
+sys.modules['langchain.prompts'] = MagicMock()
+sys.modules['langchain.schema'] = MagicMock()
+sys.modules['langgraph.graph'] = MagicMock()
+
+from api import chatbot
+
+@pytest.fixture
+def client():
+    from fastapi import FastAPI
+    app = FastAPI()
+    app.include_router(chatbot.router)
+    return TestClient(app)
+
+def test_router_exists():
+    assert hasattr(chatbot, 'router')
+
+def test_env_vars_loaded(monkeypatch):
+    monkeypatch.setenv('DEEPSEEK_API_KEY', 'dummy')
+    monkeypatch.setenv('TAVILY_API_KEY', 'dummy')
+    # Re-import to trigger env loading
+    import importlib
+    importlib.reload(chatbot)
+    assert True
+
+def test_websocket_endpoint_accepts(monkeypatch):
+    # Patch ConnectionManager
+    mock_manager = MagicMock()
+    monkeypatch.setattr(chatbot, 'manager', mock_manager)
+    ws = MagicMock(spec=WebSocket)
+    ws.receive_text = MagicMock(side_effect=[pytest.raises(StopIteration)])
+    ws.accept = MagicMock()
+    # Should not raise
+    try:
+        coro = chatbot.websocket_endpoint(ws)
+        assert hasattr(coro, '__await__')
+    except Exception as e:
+        pytest.fail(f"websocket_endpoint raised: {e}")
diff --git a/app/backend/tests/models/adaptive_rag/test_grading.py b/app/backend/tests/models/adaptive_rag/test_grading.py
new file mode 100644
index 0000000..ea1180b
--- /dev/null
+++ b/app/backend/tests/models/adaptive_rag/test_grading.py
@@ -0,0 +1,14 @@
+import pytest
+from models.adaptive_rag import grading
+
+def test_grade_documents_class():
+    doc = grading.GradeDocuments(binary_score='yes')
+    assert doc.binary_score == 'yes'
+
+def test_grade_hallucinations_class():
+    doc = grading.GradeHallucinations(binary_score='no')
+    assert doc.binary_score == 'no'
+
+def test_grade_answer_class():
+    doc = grading.GradeAnswer(binary_score='yes')
+    assert doc.binary_score == 'yes'
diff --git a/app/backend/tests/models/adaptive_rag/test_prompts_library.py b/app/backend/tests/models/adaptive_rag/test_prompts_library.py
new file mode 100644
index 0000000..f04be17
--- /dev/null
+++ b/app/backend/tests/models/adaptive_rag/test_prompts_library.py
@@ -0,0 +1,10 @@
+import pytest
+from models.adaptive_rag import prompts_library
+
+def test_prompts_are_strings():
+    assert isinstance(prompts_library.system_router, str)
+    assert isinstance(prompts_library.system_retriever_grader, str)
+    assert isinstance(prompts_library.system_hallucination_grader, str)
+    assert isinstance(prompts_library.system_answer_grader, str)
+    assert isinstance(prompts_library.system_question_rewriter, str)
+    assert isinstance(prompts_library.qa_prompt_template, str)
diff --git a/app/backend/tests/models/adaptive_rag/test_query.py b/app/backend/tests/models/adaptive_rag/test_query.py
new file mode 100644
index 0000000..24af5f8
--- /dev/null
+++ b/app/backend/tests/models/adaptive_rag/test_query.py
@@ -0,0 +1,8 @@
+import pytest
+from models.adaptive_rag import query
+
+def test_query_request_and_response():
+    req = query.QueryRequest(query="What is AI?")
+    assert req.query == "What is AI?"
+    resp = query.QueryResponse(response="Artificial Intelligence")
+    assert resp.response == "Artificial Intelligence"
diff --git a/app/backend/tests/models/adaptive_rag/test_routing.py b/app/backend/tests/models/adaptive_rag/test_routing.py
new file mode 100644
index 0000000..f6eae0b
--- /dev/null
+++ b/app/backend/tests/models/adaptive_rag/test_routing.py
@@ -0,0 +1,6 @@
+import pytest
+from models.adaptive_rag import routing
+
+def test_route_query_class():
+    route = routing.RouteQuery(datasource="vectorstore")
+    assert route.datasource == "vectorstore"
diff --git a/app/backend/tests/test_config_and_main.py b/app/backend/tests/test_config_and_main.py
new file mode 100644
index 0000000..b95c3a7
--- /dev/null
+++ b/app/backend/tests/test_config_and_main.py
@@ -0,0 +1,10 @@
+import pytest
+from importlib import import_module
+
+def test_config_import():
+    mod = import_module('config')
+    assert mod is not None
+
+def test_main_import():
+    mod = import_module('main')
+    assert mod is not None
diff --git a/app/backend/tests/utils/test_initialize_sentence_transformer.py b/app/backend/tests/utils/test_initialize_sentence_transformer.py
new file mode 100644
index 0000000..976fa30
--- /dev/null
+++ b/app/backend/tests/utils/test_initialize_sentence_transformer.py
@@ -0,0 +1,6 @@
+import pytest
+from importlib import import_module
+
+def test_initialize_sentence_transformer_import():
+    mod = import_module('utils.initialize_sentence_transformer')
+    assert mod is not None

From 95cf1d304d99d9e577aa8eb2b905c28e4b20a8a0 Mon Sep 17 00:00:00 2001
From: leehk <leehongkai@gmail.com>
Date: Fri, 25 Apr 2025 15:59:24 +0800
Subject: [PATCH 07/11] reactivate pytest in dockerfile

---
 app/backend/Dockerfile | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/app/backend/Dockerfile b/app/backend/Dockerfile
index 0659ccd..8234f18 100644
--- a/app/backend/Dockerfile
+++ b/app/backend/Dockerfile
@@ -44,8 +44,8 @@ USER app
 # Run python to initialize download of SentenceTransformer model
 RUN pipenv run python utils/initialize_sentence_transformer.py
 
-# # pytest
-# RUN pipenv run pytest tests --disable-warnings
+# pytest
+RUN pipenv run pytest tests --disable-warnings
 
 # expose the port the app runs on
 EXPOSE 80

From 9ec5d86678f8ea41f2c3eda5be7b74564ae82626 Mon Sep 17 00:00:00 2001
From: leehk <leehongkai@gmail.com>
Date: Fri, 25 Apr 2025 17:45:06 +0800
Subject: [PATCH 08/11] update

---
 .github/workflows/build.yml |  2 +-
 app/backend/Dockerfile      |  4 ++--
 app/backend/Dockerfile.prod | 13 ++++++++++++-
 3 files changed, 15 insertions(+), 4 deletions(-)

diff --git a/.github/workflows/build.yml b/.github/workflows/build.yml
index 57618ae..11d30ec 100644
--- a/.github/workflows/build.yml
+++ b/.github/workflows/build.yml
@@ -48,7 +48,7 @@ jobs:
         image_config:
           - IMAGE_NAME: backend-aimingmedai
             BUILD_CONTEXT: ./app/backend
-            DOCKERFILE: ./app/backend/Dockerfile.prod
+            DOCKERFILE: ./app/backend/Dockerfile
           - IMAGE_NAME: frontend-aimingmedai
             BUILD_CONTEXT: ./app/frontend
             DOCKERFILE: ./app/frontend/Dockerfile.test
diff --git a/app/backend/Dockerfile b/app/backend/Dockerfile
index 8234f18..c657cc9 100644
--- a/app/backend/Dockerfile
+++ b/app/backend/Dockerfile
@@ -45,12 +45,12 @@ USER app
 RUN pipenv run python utils/initialize_sentence_transformer.py
 
 # pytest
-RUN pipenv run pytest tests --disable-warnings
+RUN export DEEPSEEK_API_KEY=sk-XXXXXXXXXX; export TAVILY_API_KEY=tvly-dev-wXXXXXX;\
+    pipenv run pytest tests --disable-warnings
 
 # expose the port the app runs on
 EXPOSE 80
 
-
 # run uvicorn
 CMD ["pipenv", "run", "uvicorn", "main:app", "--reload", "--workers", "1", "--host", "0.0.0.0", "--port", "80"]
 
diff --git a/app/backend/Dockerfile.prod b/app/backend/Dockerfile.prod
index 0553b8a..ddf1748 100644
--- a/app/backend/Dockerfile.prod
+++ b/app/backend/Dockerfile.prod
@@ -13,12 +13,23 @@ ENV PYTHONDONTWRITEBYTECODE=1
 ENV PYTHONUNBUFFERED=1
 ENV ENVIRONMENT=dev
 ENV TESTING=1
+ENV CUDA_VISIBLE_DEVICES=""
 
 # install python dependencies
 RUN pip install -i https://pypi.tuna.tsinghua.edu.cn/simple pipenv && rm -rf ~/.cache/pip
 COPY ./Pipfile .
-RUN pipenv install --deploy --dev
+RUN pipenv install --deploy --dev --no-cache-dir
+RUN pipenv run pip install torch --force-reinstall --no-cache-dir
 
+# remove all cached files not needed to save space
+RUN pip cache purge
+RUN rm -rf /root/.cache
+
+# Create cache directory and set permissions
+RUN mkdir -p /home/app/.cache/huggingface
+RUN chown -R app:app /home/app/.cache/huggingface
+RUN chown -R app:app $APP_HOME
+# 
 # add app
 COPY . /usr/src/app
 RUN export DEEPSEEK_API_KEY=sk-XXXXXXXXXX; export TAVILY_API_KEY=tvly-dev-wXXXXXX;\

From 448a4cf021b5a9ebda14926e196e55f736c42be1 Mon Sep 17 00:00:00 2001
From: leehk <leehongkai@gmail.com>
Date: Fri, 25 Apr 2025 21:43:52 +0800
Subject: [PATCH 09/11] update

---
 app/backend/Pipfile      |   2 +-
 app/backend/Pipfile.lock | 200 ++++++++++++++++++++-------------------
 2 files changed, 103 insertions(+), 99 deletions(-)

diff --git a/app/backend/Pipfile b/app/backend/Pipfile
index 88c66ae..ee9756e 100644
--- a/app/backend/Pipfile
+++ b/app/backend/Pipfile
@@ -19,7 +19,7 @@ langchain-community = "==0.3.19"
 tavily-python = "==0.5.1"
 langchain_huggingface = "==0.1.2"
 langchain-deepseek = "==0.1.2"
-torch = "==2.1.0"
+torch = "*"
 sentence-transformers = "*"
 
 [dev-packages]
diff --git a/app/backend/Pipfile.lock b/app/backend/Pipfile.lock
index 4b839ce..37c009c 100644
--- a/app/backend/Pipfile.lock
+++ b/app/backend/Pipfile.lock
@@ -1,7 +1,7 @@
 {
     "_meta": {
         "hash": {
-            "sha256": "da09b5aceb8173f07c9f2b67f9e9b47b61bfa88a69253b3bd2f8a706af1aaed3"
+            "sha256": "c212df148a1fa2e4f7e43e923a3fb612a241bbfcefee868fb2dca865b87c1e10"
         },
         "pipfile-spec": 6,
         "requires": {
@@ -597,60 +597,60 @@
         },
         "grpcio": {
             "hashes": [
-                "sha256:0ab8b2864396663a5b0b0d6d79495657ae85fa37dcb6498a2669d067c65c11ea",
-                "sha256:0fa05ee31a20456b13ae49ad2e5d585265f71dd19fbd9ef983c28f926d45d0a7",
-                "sha256:0ff35c8d807c1c7531d3002be03221ff9ae15712b53ab46e2a0b4bb271f38537",
-                "sha256:1be857615e26a86d7363e8a163fade914595c81fec962b3d514a4b1e8760467b",
-                "sha256:20e8f653abd5ec606be69540f57289274c9ca503ed38388481e98fa396ed0b41",
-                "sha256:22c3bc8d488c039a199f7a003a38cb7635db6656fa96437a8accde8322ce2366",
-                "sha256:24e867651fc67717b6f896d5f0cac0ec863a8b5fb7d6441c2ab428f52c651c6b",
-                "sha256:2b85f7820475ad3edec209d3d89a7909ada16caab05d3f2e08a7e8ae3200a55c",
-                "sha256:39983a9245d37394fd59de71e88c4b295eb510a3555e0a847d9965088cdbd033",
-                "sha256:3d081e859fb1ebe176de33fc3adb26c7d46b8812f906042705346b314bde32c3",
-                "sha256:469f42a0b410883185eab4689060a20488a1a0a00f8bbb3cbc1061197b4c5a79",
-                "sha256:47be9584729534660416f6d2a3108aaeac1122f6b5bdbf9fd823e11fe6fbaa29",
-                "sha256:4be74ddeeb92cc87190e0e376dbc8fc7736dbb6d3d454f2fa1f5be1dee26b9d7",
-                "sha256:4dd0dfbe4d5eb1fcfec9490ca13f82b089a309dc3678e2edabc144051270a66e",
-                "sha256:5b08d03ace7aca7b2fadd4baf291139b4a5f058805a8327bfe9aece7253b6d67",
-                "sha256:63e41b91032f298b3e973b3fa4093cbbc620c875e2da7b93e249d4728b54559a",
-                "sha256:652350609332de6dac4ece254e5d7e1ff834e203d6afb769601f286886f6f3a8",
-                "sha256:693bc706c031aeb848849b9d1c6b63ae6bcc64057984bb91a542332b75aa4c3d",
-                "sha256:74258dce215cb1995083daa17b379a1a5a87d275387b7ffe137f1d5131e2cfbb",
-                "sha256:789d5e2a3a15419374b7b45cd680b1e83bbc1e52b9086e49308e2c0b5bbae6e3",
-                "sha256:7c9c80ac6091c916db81131d50926a93ab162a7e97e4428ffc186b6e80d6dda4",
-                "sha256:7d6ac9481d9d0d129224f6d5934d5832c4b1cddb96b59e7eba8416868909786a",
-                "sha256:85da336e3649a3d2171e82f696b5cad2c6231fdd5bad52616476235681bee5b3",
-                "sha256:8700a2a57771cc43ea295296330daaddc0d93c088f0a35cc969292b6db959bf3",
-                "sha256:8997d6785e93308f277884ee6899ba63baafa0dfb4729748200fcc537858a509",
-                "sha256:9182e0063112e55e74ee7584769ec5a0b4f18252c35787f48738627e23a62b97",
-                "sha256:9b91879d6da1605811ebc60d21ab6a7e4bae6c35f6b63a061d61eb818c8168f6",
-                "sha256:a2242d6950dc892afdf9e951ed7ff89473aaf744b7d5727ad56bdaace363722b",
-                "sha256:a371e6b6a5379d3692cc4ea1cb92754d2a47bdddeee755d3203d1f84ae08e03e",
-                "sha256:a76d39b5fafd79ed604c4be0a869ec3581a172a707e2a8d7a4858cb05a5a7637",
-                "sha256:ad9f30838550695b5eb302add33f21f7301b882937460dd24f24b3cc5a95067a",
-                "sha256:b2266862c5ad664a380fbbcdbdb8289d71464c42a8c29053820ee78ba0119e5d",
-                "sha256:b78a99cd1ece4be92ab7c07765a0b038194ded2e0a26fd654591ee136088d8d7",
-                "sha256:c200cb6f2393468142eb50ab19613229dcc7829b5ccee8b658a36005f6669fdd",
-                "sha256:c30f393f9d5ff00a71bb56de4aa75b8fe91b161aeb61d39528db6b768d7eac69",
-                "sha256:c6a0a28450c16809f94e0b5bfe52cabff63e7e4b97b44123ebf77f448534d07d",
-                "sha256:cebc1b34ba40a312ab480ccdb396ff3c529377a2fce72c45a741f7215bfe8379",
-                "sha256:d2c170247315f2d7e5798a22358e982ad6eeb68fa20cf7a820bb74c11f0736e7",
-                "sha256:d35a95f05a8a2cbe8e02be137740138b3b2ea5f80bd004444e4f9a1ffc511e32",
-                "sha256:d5170929109450a2c031cfe87d6716f2fae39695ad5335d9106ae88cc32dc84c",
-                "sha256:d6aa986318c36508dc1d5001a3ff169a15b99b9f96ef5e98e13522c506b37eef",
-                "sha256:d6de81c9c00c8a23047136b11794b3584cdc1460ed7cbc10eada50614baa1444",
-                "sha256:dc1a1231ed23caac1de9f943d031f1bc38d0f69d2a3b243ea0d664fc1fbd7fec",
-                "sha256:e6beeea5566092c5e3c4896c6d1d307fb46b1d4bdf3e70c8340b190a69198594",
-                "sha256:e6d8de076528f7c43a2f576bc311799f89d795aa6c9b637377cc2b1616473804",
-                "sha256:e6f83a583ed0a5b08c5bc7a3fe860bb3c2eac1f03f1f63e0bc2091325605d2b7",
-                "sha256:f250ff44843d9a0615e350c77f890082102a0318d66a99540f54769c8766ab73",
-                "sha256:f71574afdf944e6652203cd1badcda195b2a27d9c83e6d88dc1ce3cfb73b31a5",
-                "sha256:f903017db76bf9cc2b2d8bdd37bf04b505bbccad6be8a81e1542206875d0e9db",
-                "sha256:f9a412f55bb6e8f3bb000e020dbc1e709627dcb3a56f6431fa7076b4c1aab0db",
-                "sha256:f9c30c464cb2ddfbc2ddf9400287701270fdc0f14be5f08a1e3939f1e749b455"
+                "sha256:00c5bbb9609e5ff5be3291e6ac1d813ab5891c552228716bbf2f5f7efec0484b",
+                "sha256:0177a604fee43a85c09437f9095d4aa6e79a475a7b3ff8689f36da1fbc4d89b2",
+                "sha256:01cf5510a7040a802833432fd233cdb6b2a3ed52d37d7c89bcbd3c6853feadc7",
+                "sha256:05aee9be958a580e169e1aa8987387bcd8be6ed7fc5c2a3a048b6a2b911473cd",
+                "sha256:08727549fc15e42df9f7592b787a65116476d33b656230e13e83b9c510ab7057",
+                "sha256:0c9834a8b7855cba0339531301de9d358ce282ebda12991d389bf465d00e24fa",
+                "sha256:0dc974d625ba5767eb620fff17987817b2e2deb266e8f0346d6a9c38ec046181",
+                "sha256:17dfd1fce34f49ecc831c371f0c7a72c028a83be3af97c694d4779a52a4ac056",
+                "sha256:182389843a59617ee4cfcb31b80c650b4c447cb33aa0a106055ae8c266dd04cb",
+                "sha256:1932d64a039de03330e2d32245b2f3c7476fe8e4da5390c02b19a53577f7c963",
+                "sha256:1dc3d20ae48a3b44fa0fad28b22184b9c0bdcf8440a5eed4c848fdd45bcebc8b",
+                "sha256:1f5a6c32c055ed516063a396bd16541384d761085ff788aa30792dfc4d7162e0",
+                "sha256:25b2009fd23ac00c18b67a4df823f8728122b6c0ff000d05e010accebf9d07ff",
+                "sha256:27436c886e4d3c99555ea32273d610d45ddc3533fbcd002f5249972716a40f57",
+                "sha256:30a7220ef4fa1eb9e86ddcccdee8bc50ed899a78511ced5460cb0987c8415f93",
+                "sha256:31b78d2a0e1cae772b643fa6eee7890007459205b592dc516bcf521c63a66d74",
+                "sha256:357ac3982493bdc36bd5557eca135c16a5122048b9d31878252ad08d1d1b0c0c",
+                "sha256:39910f78c3055c07962a0fcacd02753980e480aff14c0fc6104faee74075f01e",
+                "sha256:3ebffd2867bc1db13588cbf94f7ce19c27a8f871b20c0a7f9e7ac7bba6a79d60",
+                "sha256:43b639988207e4423adadcd45d9df1b9c8ee5136367f6fb0d2973312901d7aa9",
+                "sha256:45eefdbfc84ed423c8ef3c7e1896a39718f94dab3898d1f6903100478d16c138",
+                "sha256:513fbba2cbfbfd1da0c9c892cd0a7a3f6376b4771bb9f0c97e5cdc8310110122",
+                "sha256:5595339f35cc98814447a0be4edbf0e9adac9d59e75a185ae73c781d549f7222",
+                "sha256:5e57eb7e37dd5ef747325f2ea7948ad9534534b8d28f5a5cd5427e71f881437d",
+                "sha256:69152f5d2e2df0f0c83787794bc85e8bd02f283b57dcbfae18e488e8fa477a7d",
+                "sha256:6cb395718b0eaf366f99bf55686b0f02ef9359321c0d593f5c6d86d366e34aad",
+                "sha256:6cfa0259d3b10bbff45081cb62f3db7cffd29db555be2ccfc37777fa950387e2",
+                "sha256:747fe0edd9d2f1dbf13457d0388bca4c33edf4a41ade156dfe244d78fec12b81",
+                "sha256:8198373d86f554b7464fa1f4e933e76fb2a6bbddf557e910f26ea874eb20395c",
+                "sha256:854f6b41a63cd71def1f8eb278ed398bbba2ae154fd31f8ae1eb131d882e6af2",
+                "sha256:89cc9f220a8c8cd847bbb5b7e6e3705b44e25d936ed85f1de9f968aae7ed4603",
+                "sha256:8de2fc028f46077a2b8580bc92186981b7b77ad7dc4edee16065c5dcd13f610a",
+                "sha256:8fcabca30543dcfdbe2fe09e743a7bebd4acdb16b1568a0822724cf4ade0512f",
+                "sha256:9dc706ba84e4596830a46e320f9aa9295680bfc67b6d20fa5dd96db41ff41be7",
+                "sha256:a1ce56ad4ca96db0dc02260b388194f5839d9973655b7935f6392ddc410f52d5",
+                "sha256:a66a6f5833c68a9899eaa992ab08ecb43b6e3335f4530f6bd4b6d3c0bc6bcef6",
+                "sha256:ac072564d1968ae0c3a5766484a66995eb04595d9148543274d543d3a658a3e0",
+                "sha256:b2aad9eb7f874ff680b8e6ec293f4dfe43c175710d64c2c0c388a27f51a8821b",
+                "sha256:b6874fa2d531b8e97ef858b5bbf6fc6cca8d88d66d5ad5035899a4b1168f0522",
+                "sha256:bd9fb20c4b82ecb7a05c0ae73c14f85ae751262c9affd33f1bc683273528cea6",
+                "sha256:bdbe17df390d8e8f2320c52de021fe1700ea671e9681ee67f3604d86db9292ee",
+                "sha256:bf3f903a04a0f863b407f3efae3ce7970a4b61c3a4459fe552102cd14804cd1d",
+                "sha256:c35ccca29c70e3a4215dda31b268def913f8a434ff487d375364e020afa4f467",
+                "sha256:c5485b51cb382c4aeaee6ef6b14ee9ecdf26d0558636ab69a3edfe16990ad784",
+                "sha256:cf3605dc38ced064f237872ca71f67513dab58825988e9c96b0433f37b6157f8",
+                "sha256:d68239da9e51215f5a00b5ab9e216180a218e5e155c3f8322581693af0a93e09",
+                "sha256:e9e473866ed03313d3b4d41ca7d1fce70773eddd2587eeddd1a01feadd5a984e",
+                "sha256:ef726c61686ee4d816fa46e8425157e30f2ec6a295bb52ac21b3e5664ec5b89e",
+                "sha256:efd1564835c426e1a4cba265dcd2d75464dc354766fd8749926b40d18a84fd1b",
+                "sha256:f1917a8820076496025264e26814768654dbc3c1073f953b7bdc97160d2b8a17",
+                "sha256:ff3610a55d41aa6d63a02316003c70ee85b5b73d8f5b3aba3222072bfc74d72d"
             ],
             "markers": "python_version >= '3.9'",
-            "version": "==1.71.0"
+            "version": "==1.72.0"
         },
         "gunicorn": {
             "hashes": [
@@ -663,19 +663,19 @@
         },
         "h11": {
             "hashes": [
-                "sha256:8f19fbbe99e72420ff35c00b27a34cb9937e902a8b810e2c88300c6f0a3b699d",
-                "sha256:e3fe4ac4b851c468cc8363d500db52c2ead036020723024a109d37346efaa761"
+                "sha256:4e35b956cf45792e4caa5885e69fba00bdbc6ffafbfa020300e549b208ee5ff1",
+                "sha256:63cf8bbe7522de3bf65932fda1d9c2772064ffb3dae62d55932da54b31cb6c86"
             ],
-            "markers": "python_version >= '3.7'",
-            "version": "==0.14.0"
+            "markers": "python_version >= '3.8'",
+            "version": "==0.16.0"
         },
         "httpcore": {
             "hashes": [
-                "sha256:5254cf149bcb5f75e9d1b2b9f729ea4a4b883d1ad7379fc632b727cec23674be",
-                "sha256:86e94505ed24ea06514883fd44d2bc02d90e77e7979c8eb71b90f41d364a1bad"
+                "sha256:2d400746a40668fc9dec9810239072b40b4484b640a8c38fd654a024c7a1bf55",
+                "sha256:6e34463af53fd2ab5d807f399a9b45ea31c3dfa2276f15a2c3f00afff6e176e8"
             ],
             "markers": "python_version >= '3.8'",
-            "version": "==1.0.8"
+            "version": "==1.0.9"
         },
         "httptools": {
             "hashes": [
@@ -924,11 +924,11 @@
         },
         "langchain-core": {
             "hashes": [
-                "sha256:0f2b3e311621116a83510c70b0ac9d959030a0a457a69483535cff18501fedc9",
-                "sha256:b3cb36bf37755a616158a79866657c6697b43a2f7c69dd723ce425f1c76c1baa"
+                "sha256:a20c6aca0fa0da265d96d3b14a5a01828ac5d2d9d27516434873d76f2d4839ed",
+                "sha256:de896585bc56e12652327dcd195227c3739a07e86e587c91a07101e0df11dffe"
             ],
             "markers": "python_version >= '3.9' and python_version < '4.0'",
-            "version": "==0.3.55"
+            "version": "==0.3.56"
         },
         "langchain-deepseek": {
             "hashes": [
@@ -999,11 +999,11 @@
         },
         "langsmith": {
             "hashes": [
-                "sha256:0f439e945528c6d14140137b918cc048aea04c6a987525926dbfda2560002924",
-                "sha256:6fa453942014945e1de7e283880ed3e8031b5d84e0dc75b87d101ecedb62371b"
+                "sha256:5927d726a78dbd1aa387be024ab76efa67444aec9b21b14c1de8214a233bb166",
+                "sha256:c99add514aecc4295148f8910fab3b0c2632444605422a80aa625b65da502515"
             ],
             "markers": "python_version >= '3.9' and python_version < '4.0'",
-            "version": "==0.3.33"
+            "version": "==0.3.34"
         },
         "markdown-it-py": {
             "hashes": [
@@ -1730,10 +1730,10 @@
         },
         "posthog": {
             "hashes": [
-                "sha256:85db78c13d1ecb11aed06fad53759c4e8fb3633442c2f3d0336bc0ce8a585d30",
-                "sha256:9168f3e7a0a5571b6b1065c41b3c171fbc68bfe72c3ac0bfd6e3d2fcdb7df2ca"
+                "sha256:8dfc160510a3eddbaac11991e255bba89bf38b630c0958e68279aa4a12fe465b",
+                "sha256:f6310a74924f9897a2a07cefb432196e48feb9e923522a48a3d98274bf354b21"
             ],
-            "version": "==3.25.0"
+            "version": "==4.0.0"
         },
         "propcache": {
             "hashes": [
@@ -2545,30 +2545,34 @@
         },
         "torch": {
             "hashes": [
-                "sha256:05661c32ec14bc3a157193d0f19a7b19d8e61eb787b33353cad30202c295e83b",
-                "sha256:0bd691efea319b14ef239ede16d8a45c246916456fa3ed4f217d8af679433cc6",
-                "sha256:101c139152959cb20ab370fc192672c50093747906ee4ceace44d8dd703f29af",
-                "sha256:2224622407ca52611cbc5b628106fde22ed8e679031f5a99ce286629fc696128",
-                "sha256:2419cf49aaf3b2336c7aa7a54a1b949fa295b1ae36f77e2aecb3a74e3a947255",
-                "sha256:3cd1dedff13884d890f18eea620184fb4cd8fd3c68ce3300498f427ae93aa962",
-                "sha256:421739685eba5e0beba42cb649740b15d44b0d565c04e6ed667b41148734a75b",
-                "sha256:458a6d6d8f7d2ccc348ac4d62ea661b39a3592ad15be385bebd0a31ced7e00f4",
-                "sha256:556d8dd3e0c290ed9d4d7de598a213fb9f7c59135b4fee144364a8a887016a55",
-                "sha256:5c3bfa91ce25ba10116c224c59d5b64cdcce07161321d978bd5a1f15e1ebce72",
-                "sha256:601b0a2a9d9233fb4b81f7d47dca9680d4f3a78ca3f781078b6ad1ced8a90523",
-                "sha256:6ad491e70dbe4288d17fdbfc7fbfa766d66cbe219bc4871c7a8096f4a37c98df",
-                "sha256:761822761fffaa1c18a62c5deb13abaa780862577d3eadc428f1daa632536905",
-                "sha256:8132efb782cd181cc2dcca5e58effbe4217cdb2581206ac71466d535bf778867",
-                "sha256:a04a0296d47f28960f51c18c5489a8c3472f624ec3b5bcc8e2096314df8c3342",
-                "sha256:a6b7438a90a870e4cdeb15301519ae6c043c883fcd224d303c5b118082814767",
-                "sha256:bf57f8184b2c317ef81fb33dc233ce4d850cd98ef3f4a38be59c7c1572d175db",
-                "sha256:c8bf7eaf9514465e5d9101e05195183470a6215bb50295c61b52302a04edb690",
-                "sha256:de7d63c6ecece118684415a3dbd4805af4a4c1ee1490cccf7405d8c240a481b4",
-                "sha256:fb7bf0cc1a3db484eb5d713942a93172f3bac026fcb377a0cd107093d2eba777"
+                "sha256:0a8d43caa342b9986101ec5feb5bbf1d86570b5caa01e9cb426378311258fdde",
+                "sha256:0b9960183b6e5b71239a3e6c883d8852c304e691c0b2955f7045e8a6d05b9183",
+                "sha256:15aab3e31c16feb12ae0a88dba3434a458874636f360c567caa6a91f6bfba481",
+                "sha256:176300ff5bc11a5f5b0784e40bde9e10a35c4ae9609beed96b4aeb46a27f5fae",
+                "sha256:27f5007bdf45f7bb7af7f11d1828d5c2487e030690afb3d89a651fd7036a390e",
+                "sha256:2a885fc25afefb6e6eb18a7d1e8bfa01cc153e92271d980a49243b250d5ab6d9",
+                "sha256:2ad79d0d8c2a20a37c5df6052ec67c2078a2c4e9a96dd3a8b55daaff6d28ea29",
+                "sha256:2b7813e904757b125faf1a9a3154e1d50381d539ced34da1992f52440567c156",
+                "sha256:30b7688a87239a7de83f269333651d8e582afffce6f591fff08c046f7787296e",
+                "sha256:34e0168ed6de99121612d72224e59b2a58a83dae64999990eada7260c5dd582d",
+                "sha256:36a6368c7ace41ad1c0f69f18056020b6a5ca47bedaca9a2f3b578f5a104c26c",
+                "sha256:434cf3b378340efc87c758f250e884f34460624c0523fe5c9b518d205c91dd1b",
+                "sha256:58df8d5c2eeb81305760282b5069ea4442791a6bbf0c74d9069b7b3304ff8a37",
+                "sha256:868ccdc11798535b5727509480cd1d86d74220cfdc42842c4617338c1109a205",
+                "sha256:87b0802cab44659fcb6bcf5678d58fa4a8b48561cde8fb2d317edf0b6990e1bb",
+                "sha256:9b52347118116cf3dff2ab5a3c3dd97c719eb924ac658ca2a7335652076df708",
+                "sha256:c9afea41b11e1a1ab1b258a5c31afbd646d6319042bfe4f231b408034b51128b",
+                "sha256:ccd7509141713997861b7a947ef0a717143cd7e9240addd168f38ba8fd23fd56",
+                "sha256:d0ca446a93f474985d81dc866fcc8dccefb9460a29a456f79d99c29a78a66993",
+                "sha256:e362efaa5b3078e5f75c33efc05005b9b46de0d2e899519d5b4cad0e050ed0f7",
+                "sha256:edad98dddd82220465b106506bb91ee5ce32bd075cddbcf2b443dfaa2cbd83bf",
+                "sha256:f56d4b2510934e072bab3ab8987e00e60e1262fb238176168f5e0c43a1320c6d",
+                "sha256:fc1ed9258cbfce69970ff508ea60881818d414d098a800b7695ba36f570d34b0",
+                "sha256:fd5cfbb4c3bbadd57ad1b27d56a28008f8d8753733411a140fcfb84d7f933a25"
             ],
             "index": "pypi",
-            "markers": "python_full_version >= '3.8.0'",
-            "version": "==2.1.0"
+            "markers": "python_full_version >= '3.9.0'",
+            "version": "==2.7.0"
         },
         "tqdm": {
             "hashes": [
@@ -3283,19 +3287,19 @@
         },
         "h11": {
             "hashes": [
-                "sha256:8f19fbbe99e72420ff35c00b27a34cb9937e902a8b810e2c88300c6f0a3b699d",
-                "sha256:e3fe4ac4b851c468cc8363d500db52c2ead036020723024a109d37346efaa761"
+                "sha256:4e35b956cf45792e4caa5885e69fba00bdbc6ffafbfa020300e549b208ee5ff1",
+                "sha256:63cf8bbe7522de3bf65932fda1d9c2772064ffb3dae62d55932da54b31cb6c86"
             ],
-            "markers": "python_version >= '3.7'",
-            "version": "==0.14.0"
+            "markers": "python_version >= '3.8'",
+            "version": "==0.16.0"
         },
         "httpcore": {
             "hashes": [
-                "sha256:5254cf149bcb5f75e9d1b2b9f729ea4a4b883d1ad7379fc632b727cec23674be",
-                "sha256:86e94505ed24ea06514883fd44d2bc02d90e77e7979c8eb71b90f41d364a1bad"
+                "sha256:2d400746a40668fc9dec9810239072b40b4484b640a8c38fd654a024c7a1bf55",
+                "sha256:6e34463af53fd2ab5d807f399a9b45ea31c3dfa2276f15a2c3f00afff6e176e8"
             ],
             "markers": "python_version >= '3.8'",
-            "version": "==1.0.8"
+            "version": "==1.0.9"
         },
         "httpx": {
             "hashes": [

From a289f57a4ed7991b0234421189a669be8e3f0c15 Mon Sep 17 00:00:00 2001
From: leehk <leehongkai@gmail.com>
Date: Fri, 25 Apr 2025 21:46:36 +0800
Subject: [PATCH 10/11] update

---
 .github/workflows/template_unit_pytest.yml | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/.github/workflows/template_unit_pytest.yml b/.github/workflows/template_unit_pytest.yml
index 81344d1..5a0fc70 100644
--- a/.github/workflows/template_unit_pytest.yml
+++ b/.github/workflows/template_unit_pytest.yml
@@ -54,7 +54,7 @@ jobs:
         ls -al
         echo "Pipfile content:"
         cat Pipfile
-        pipenv sync -d
+        pipenv install --dev --skip-lock
 
     - name: Run tests with pytest
       working-directory: ${{ env.WORKING_DIR }}

From 257219604a6b2f9cbe053064171885f4f0d4651f Mon Sep 17 00:00:00 2001
From: leehk <leehongkai@gmail.com>
Date: Fri, 25 Apr 2025 21:53:32 +0800
Subject: [PATCH 11/11] update

---
 .github/workflows/template_unit_pytest.yml | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/.github/workflows/template_unit_pytest.yml b/.github/workflows/template_unit_pytest.yml
index 5a0fc70..bd487a5 100644
--- a/.github/workflows/template_unit_pytest.yml
+++ b/.github/workflows/template_unit_pytest.yml
@@ -55,6 +55,8 @@ jobs:
         echo "Pipfile content:"
         cat Pipfile
         pipenv install --dev --skip-lock
+        echo "Listing installed packages:"
+        pipenv graph
 
     - name: Run tests with pytest
       working-directory: ${{ env.WORKING_DIR }}