Mel Seto commited on
Commit
852df46
·
1 Parent(s): c02cf0a

add retriever and tests

Browse files
Files changed (5) hide show
  1. pyproject.toml +0 -3
  2. pytest.ini +2 -0
  3. src/retrieval/retriever.py +48 -0
  4. tests/test_retriever.py +24 -0
  5. uv.lock +503 -0
pyproject.toml CHANGED
@@ -11,11 +11,8 @@ dependencies = [
11
  "ollama>=0.5.3",
12
  "pycccedict>=1.2.0",
13
  "pypinyin>=0.55.0",
14
- <<<<<<< HEAD
15
- =======
16
  "sentence-transformers>=2.2.2",
17
  "numpy>=1.26.0",
18
- >>>>>>> 660f6fb (organizing files into src folder etc.)
19
  ]
20
 
21
  [dependency-groups]
 
11
  "ollama>=0.5.3",
12
  "pycccedict>=1.2.0",
13
  "pypinyin>=0.55.0",
 
 
14
  "sentence-transformers>=2.2.2",
15
  "numpy>=1.26.0",
 
16
  ]
17
 
18
  [dependency-groups]
pytest.ini ADDED
@@ -0,0 +1,2 @@
 
 
 
1
+ [pytest]
2
+ pythonpath = src
src/retrieval/retriever.py ADDED
@@ -0,0 +1,48 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ import json
2
+ import numpy as np
3
+ import requests
4
+ from sentence_transformers import SentenceTransformer
5
+ import os
6
+
7
+ # HF Dataset URL for the embeddings
8
+ EMBED_URL = "https://huggingface.co/datasets/chinese-enthusiasts/idiom-embeddings/resolve/main/idiom_embeddings.npy"
9
+ JSON_URL = "https://huggingface.co/datasets/chinese-enthusiasts/idiom-definitions/resolve/main/idioms-and-definitions.json"
10
+
11
+ # Ensure 'data/' exists
12
+ os.makedirs("data", exist_ok=True)
13
+ EMBED_FILE = "data/idiom_embeddings.npy"
14
+ JSON_FILE = "data/idioms-and-definitions.json"
15
+
16
+ # Download embeddings if not present
17
+ if not os.path.exists(EMBED_FILE):
18
+ print("Downloading embeddings...")
19
+ r = requests.get(EMBED_URL)
20
+ with open(EMBED_FILE, "wb") as f:
21
+ f.write(r.content)
22
+ print("Done.")
23
+
24
+ # Download idioms JSON if not present
25
+ if not os.path.exists(JSON_FILE):
26
+ print("Downloading idioms JSON...")
27
+ r = requests.get(JSON_URL)
28
+ with open(JSON_FILE, "wb") as f:
29
+ f.write(r.content)
30
+ print("Done.")
31
+
32
+ # Load embeddings
33
+ corpus_embeddings = np.load(EMBED_FILE)
34
+
35
+ # Load idioms
36
+ with open(JSON_FILE, "r", encoding="utf-8") as f:
37
+ corpus = json.load(f)
38
+
39
+ # Initialize embedder
40
+ embedder = SentenceTransformer("all-MiniLM-L6-v2")
41
+
42
+ def retrieve_idiom(situation: str, top_k=5):
43
+ query_emb = embedder.encode([situation], convert_to_tensor=False)
44
+ similarities = np.dot(corpus_embeddings, query_emb[0]) / (
45
+ np.linalg.norm(corpus_embeddings, axis=1) * np.linalg.norm(query_emb[0])
46
+ )
47
+ top_idx = np.argsort(similarities)[::-1][:top_k]
48
+ return [corpus[i] for i in top_idx]
tests/test_retriever.py ADDED
@@ -0,0 +1,24 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ import pytest
2
+ from retrieval.retriever import retrieve_idiom
3
+
4
+ def test_basic_retrieval():
5
+ situation = "I want to describe something that never changes."
6
+ top_k = 3
7
+ results = retrieve_idiom(situation, top_k=top_k)
8
+
9
+ # Check type and length
10
+ assert isinstance(results, list)
11
+ assert len(results) == top_k
12
+
13
+ # Check that each entry is a string
14
+ for item in results:
15
+ assert isinstance(item, str)
16
+ assert len(item) > 0
17
+
18
+ def test_empty_query():
19
+ results = retrieve_idiom("", top_k=2)
20
+ assert isinstance(results, list)
21
+ assert len(results) == 2
22
+ for item in results:
23
+ assert isinstance(item, str)
24
+ assert len(item) > 0
uv.lock CHANGED
@@ -323,9 +323,11 @@ dependencies = [
323
  { name = "cerebras-cloud-sdk" },
324
  { name = "datasets" },
325
  { name = "gradio" },
 
326
  { name = "ollama" },
327
  { name = "pycccedict" },
328
  { name = "pypinyin" },
 
329
  ]
330
 
331
  [package.dev-dependencies]
@@ -343,9 +345,11 @@ requires-dist = [
343
  { name = "cerebras-cloud-sdk", specifier = ">=1.50.1" },
344
  { name = "datasets", specifier = ">=4.1.0" },
345
  { name = "gradio", specifier = ">=4.44.1" },
 
346
  { name = "ollama", specifier = ">=0.5.3" },
347
  { name = "pycccedict", specifier = ">=1.2.0" },
348
  { name = "pypinyin", specifier = ">=0.55.0" },
 
349
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350
 
351
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707
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926
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1402
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1468
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1477
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1517
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1526
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1538
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1539
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1540
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323
  { name = "cerebras-cloud-sdk" },
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  { name = "datasets" },
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  { name = "gradio" },
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  { name = "pycccedict" },
329
  { name = "pypinyin" },
330
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331
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332
 
333
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788
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+ { url = "https://files.pythonhosted.org/packages/30/7b/0a685684ed5322d2af0bddefed7906674f67974aa88b0fae6e82e3b766f6/triton-3.4.0-cp313-cp313-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:00be2964616f4c619193cb0d1b29a99bd4b001d7dc333816073f92cf2a8ccdeb", size = 155569223, upload-time = "2025-07-30T19:58:44.017Z" },
2038
+ { url = "https://files.pythonhosted.org/packages/20/63/8cb444ad5cdb25d999b7d647abac25af0ee37d292afc009940c05b82dda0/triton-3.4.0-cp313-cp313t-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:7936b18a3499ed62059414d7df563e6c163c5e16c3773678a3ee3d417865035d", size = 155659780, upload-time = "2025-07-30T19:58:51.171Z" },
2039
+ ]
2040
+
2041
  [[package]]
2042
  name = "typer"
2043
  version = "0.16.1"