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1 Parent(s): e755754

app and dependencies update

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Files changed (3) hide show
  1. app.py +146 -101
  2. pyproject.toml +7 -0
  3. uv.lock +542 -0
app.py CHANGED
@@ -1,137 +1,182 @@
1
- from fastapi import FastAPI, HTTPException
 
2
  from pydantic import BaseModel
3
  from src.inference import ClusterPredictor
 
4
  import os
5
  import requests
 
6
  from dotenv import load_dotenv
 
 
7
 
 
8
  load_dotenv()
9
  DUNE_API_KEY = os.getenv("DUNE_API_KEY")
10
 
11
- app = FastAPI(title="Crypto Wallet Persona API", description="API to classify crypto wallets into behavioral personas.")
12
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
13
  BASE_DIR = os.path.dirname(os.path.abspath(__file__))
14
  MODEL_PATH = os.path.join(BASE_DIR, "kmeans_model.pkl")
15
  PREPROCESSOR_PATH = os.path.join(BASE_DIR, "wallet_power_transformer.pkl")
 
 
 
 
 
 
16
 
17
  try:
18
  predictor = ClusterPredictor(model_path=MODEL_PATH, preprocessor_path=PREPROCESSOR_PATH)
 
19
  except FileNotFoundError as e:
20
  print(f"Startup Error: {e}")
21
  predictor = None
 
22
 
23
- class WalletFeatures(BaseModel):
24
- tx_count: float
25
- active_days: float
26
- avg_tx_per_day: float
27
- total_gas_spent: float
28
- total_nft_buys: float
29
- total_nft_sells: float
30
- total_nft_volume_usd: float
31
- unique_nfts_owned: float
32
- dex_trades: float
33
- avg_trade_size_usd: float
34
- total_traded_usd: float
35
- erc20_receive_usd: float
36
- erc20_send_usd: float
37
- native_balance_delta: float
38
-
39
- class Config:
40
- json_schema_extra = {
41
- "example": {
42
- "tx_count": 1767.0,
43
- "active_days": 90.0,
44
- "avg_tx_per_day": 19.6,
45
- "total_gas_spent": 0.75,
46
- "total_nft_buys": 17963024.0,
47
- "total_nft_sells": 17558.0,
48
- "total_nft_volume_usd": 384457660.0,
49
- "unique_nfts_owned": 112763.0,
50
- "dex_trades": 10150882.0,
51
- "avg_trade_size_usd": 107.0,
52
- "total_traded_usd": 1048649651.0,
53
- "erc20_receive_usd": 1148467065414998.0,
54
- "erc20_send_usd": 120143.0,
55
- "native_balance_delta": 0.23
56
- }
57
- }
58
-
59
- @app.get("/")
60
- def home():
61
- return {"message": "Crypto Wallet Persona API is running. Use /analyze/{wallet_address} to fetch and classify."}
62
 
63
- @app.post("/predict")
64
- def predict_persona(features: WalletFeatures):
65
- if predictor is None:
66
- raise HTTPException(status_code=503, detail="Model not initialized. Check server logs.")
67
-
68
- try:
69
- data = features.model_dump()
70
- result = predictor.predict(data)
71
- return result
72
- except Exception as e:
73
- raise HTTPException(status_code=500, detail=str(e))
74
 
75
- @app.get("/analyze/{wallet_address}")
76
- def analyze_wallet(wallet_address: str):
77
  """
78
- Fetches wallet data from Dune Analytics and predicts its persona.
 
79
  """
80
- if not DUNE_API_KEY:
81
- raise HTTPException(status_code=500, detail="Dune API Key not configured on server.")
82
-
83
- if predictor is None:
84
- raise HTTPException(status_code=503, detail="Model not initialized.")
85
-
86
- dune_url = f"https://api.dune.com/api/v1/query/6252521/results?wallet={wallet_address}"
87
- headers = {"X-Dune-API-Key": DUNE_API_KEY}
88
-
89
  try:
90
- print(f"Fetching data for {wallet_address} from Dune...")
91
- response = requests.get(dune_url, headers=headers, timeout=10)
92
 
93
- if response.status_code == 429:
94
- raise HTTPException(status_code=429, detail="Dune API Rate Limit Exceeded. Please try again later.")
95
- if response.status_code != 200:
96
- raise HTTPException(status_code=response.status_code, detail=f"Dune API Error: {response.text}")
97
-
98
- data = response.json()
99
 
100
- if not data.get("result", {}).get("rows"):
101
- raise HTTPException(status_code=404, detail="Wallet not found in Dune dataset (or no activity found).")
102
-
103
- row_data = data["result"]["rows"][0]
104
 
105
- # 2. Map Dune Data to Model Features
106
- # The column names from Dune (active_days, etc.) generally match our features.
107
- # We construct the dictionary carefully to ensure all features are present.
108
- # If Dune sends nulls, we default to 0.0
109
- model_input = {}
110
- missing_features = []
 
 
111
 
 
 
 
 
 
112
  for feature in predictor.FEATURES:
113
- if feature in row_data:
114
- val = row_data[feature]
115
- model_input[feature] = float(val) if val is not None else 0.0
116
- else:
117
- missing_features.append(feature)
118
-
119
- if missing_features:
120
- print(f"Warning: Missing features from Dune response: {missing_features}")
121
- for f in missing_features:
122
- model_input[f] = 0.0
123
 
124
- result = predictor.predict(model_input)
 
 
125
 
126
- return {
 
 
 
 
 
 
 
 
 
 
127
  "wallet_address": wallet_address,
128
- "dune_data": model_input,
129
- "prediction": result
 
 
130
  }
 
 
 
 
 
 
 
 
131
 
132
- except requests.RequestException as e:
133
- print(f"Request Error: {e}")
134
- raise HTTPException(status_code=502, detail="Failed to connect to Dune API.")
135
  except Exception as e:
136
- print(f"Server Error: {e}")
137
- raise HTTPException(status_code=500, detail=str(e))
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ from fastapi import FastAPI, HTTPException, BackgroundTasks
2
+ from fastapi.middleware.cors import CORSMiddleware
3
  from pydantic import BaseModel
4
  from src.inference import ClusterPredictor
5
+ from src.llm import PersonaExplainer
6
  import os
7
  import requests
8
+ import uuid
9
  from dotenv import load_dotenv
10
+ from diskcache import Cache
11
+ from typing import Optional, Dict, Any
12
 
13
+ # Load environment variables
14
  load_dotenv()
15
  DUNE_API_KEY = os.getenv("DUNE_API_KEY")
16
 
17
+ app = FastAPI(title="Crypto Wallet Persona API", description="Async API with AI-powered Wallet Analysis.")
18
 
19
+ origins = [
20
+ "http://localhost",
21
+ "http://localhost:5173", # Default Vite port
22
+ ]
23
+
24
+ app.add_middleware(
25
+ CORSMiddleware,
26
+ allow_origins=origins,
27
+ allow_credentials=True,
28
+ allow_methods=["*"],
29
+ allow_headers=["*"],
30
+ )
31
+
32
+ # --- Configuration & Initialization ---
33
  BASE_DIR = os.path.dirname(os.path.abspath(__file__))
34
  MODEL_PATH = os.path.join(BASE_DIR, "kmeans_model.pkl")
35
  PREPROCESSOR_PATH = os.path.join(BASE_DIR, "wallet_power_transformer.pkl")
36
+ CACHE_DIR = os.path.join(BASE_DIR, "cache_data")
37
+
38
+ # Initialize Components
39
+ cache = Cache(CACHE_DIR)
40
+ # Expire cache entries after 24 hours (86400 seconds)
41
+ CACHE_TTL = 86400
42
 
43
  try:
44
  predictor = ClusterPredictor(model_path=MODEL_PATH, preprocessor_path=PREPROCESSOR_PATH)
45
+ explainer = PersonaExplainer()
46
  except FileNotFoundError as e:
47
  print(f"Startup Error: {e}")
48
  predictor = None
49
+ explainer = None
50
 
51
+ # --- Models ---
52
+ class JobResponse(BaseModel):
53
+ job_id: str
54
+ status: str # "queued", "processing", "completed", "failed"
55
+ wallet_address: str
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
56
 
57
+ class AnalysisResult(BaseModel):
58
+ status: str
59
+ wallet_address: Optional[str] = None
60
+ persona: Optional[str] = None
61
+ confidence_scores: Optional[Dict[str, float]] = None
62
+ explanation: Optional[str] = None
63
+ stats: Optional[Dict[str, Any]] = None
64
+ error: Optional[str] = None
 
 
 
65
 
66
+ # --- Background Worker ---
67
+ def process_wallet_analysis(job_id: str, wallet_address: str):
68
  """
69
+ Background task that fetches data, predicts persona, and generates AI explanation.
70
+ Updates the cache state as it progresses.
71
  """
 
 
 
 
 
 
 
 
 
72
  try:
73
+ # Update status to processing
74
+ cache.set(job_id, {"status": "processing", "wallet": wallet_address}, expire=CACHE_TTL)
75
 
76
+ # 1. Fetch Data from Dune
77
+ if not DUNE_API_KEY:
78
+ raise Exception("Dune API Key missing configuration.")
79
+
80
+ dune_url = f"https://api.dune.com/api/v1/query/6252521/results?wallet={wallet_address}"
81
+ headers = {"X-Dune-API-Key": DUNE_API_KEY}
82
 
83
+ print(f"Fetching Dune data for {wallet_address}...")
84
+ response = requests.get(dune_url, headers=headers, timeout=15)
 
 
85
 
86
+ if response.status_code != 200:
87
+ raise Exception(f"Dune API Error: {response.status_code} - {response.text}")
88
+
89
+ data_json = response.json()
90
+ if not data_json.get("result", {}).get("rows"):
91
+ raise Exception("Wallet not found in Dune dataset (no activity).")
92
+
93
+ row_data = data_json["result"]["rows"][0]
94
 
95
+ # 2. Prepare Features & Predict
96
+ if predictor is None:
97
+ raise Exception("Inference Model not loaded.")
98
+
99
+ model_input = {}
100
  for feature in predictor.FEATURES:
101
+ val = row_data.get(feature)
102
+ model_input[feature] = float(val) if val is not None else 0.0
 
 
 
 
 
 
 
 
103
 
104
+ # Run Inference
105
+ prediction_result = predictor.predict(model_input)
106
+ # Result format: {'cluster_label': 3, 'persona': 'Whale', 'probabilities': {...}}
107
 
108
+ # 3. Generate AI Explanation
109
+ explanation = "AI Analysis unavailable."
110
+ if explainer:
111
+ explanation = explainer.generate_explanation(
112
+ prediction_result['persona'],
113
+ model_input
114
+ )
115
+
116
+ # 4. Save Final Result to Cache
117
+ final_result = {
118
+ "status": "completed",
119
  "wallet_address": wallet_address,
120
+ "persona": prediction_result['persona'],
121
+ "confidence_scores": prediction_result['probabilities'],
122
+ "explanation": explanation,
123
+ "stats": model_input
124
  }
125
+
126
+ # Cache key for the JOB
127
+ cache.set(job_id, final_result, expire=CACHE_TTL)
128
+
129
+ # ALSO Cache key for the WALLET (for instant lookup later)
130
+ # We prefix with 'wallet:' to distinguish from job_ids
131
+ cache.set(f"wallet:{wallet_address}", final_result, expire=CACHE_TTL)
132
+ print(f"Job {job_id} completed successfully.")
133
 
 
 
 
134
  except Exception as e:
135
+ print(f"Job {job_id} failed: {e}")
136
+ error_state = {
137
+ "status": "failed",
138
+ "wallet_address": wallet_address,
139
+ "error": str(e)
140
+ }
141
+ cache.set(job_id, error_state, expire=CACHE_TTL)
142
+
143
+ # --- Endpoints ---
144
+
145
+ @app.get("/")
146
+ def home():
147
+ return {"message": "Crypto Persona API (Async + AI). Use POST /analyze/start/{wallet} to begin."}
148
+
149
+ @app.post("/analyze/start/{wallet_address}", response_model=JobResponse)
150
+ def start_analysis(wallet_address: str, background_tasks: BackgroundTasks):
151
+ """
152
+ Starts the analysis job. Returns a job_id immediately.
153
+ Checks cache first for instant results.
154
+ """
155
+ # 1. Check Cache for this wallet
156
+ cached_result = cache.get(f"wallet:{wallet_address}")
157
+ if cached_result and cached_result['status'] == 'completed':
158
+ # Create a "virtual" completed job for API consistency
159
+ # Or we could just return the result directly?
160
+ # For this pattern, let's return a completed job_id that points to this data
161
+ job_id = f"cached_{uuid.uuid4().hex[:8]}"
162
+ cache.set(job_id, cached_result, expire=300) # Short TTL for temp job pointer
163
+ return {"job_id": job_id, "status": "completed", "wallet_address": wallet_address}
164
+
165
+ # 2. Start New Job
166
+ job_id = str(uuid.uuid4())
167
+ cache.set(job_id, {"status": "queued", "wallet": wallet_address}, expire=CACHE_TTL)
168
+
169
+ background_tasks.add_task(process_wallet_analysis, job_id, wallet_address)
170
+
171
+ return {"job_id": job_id, "status": "queued", "wallet_address": wallet_address}
172
+
173
+ @app.get("/analyze/status/{job_id}", response_model=AnalysisResult)
174
+ def check_status(job_id: str):
175
+ """
176
+ Poll this endpoint to get the result.
177
+ """
178
+ result = cache.get(job_id)
179
+ if not result:
180
+ raise HTTPException(status_code=404, detail="Job ID not found or expired.")
181
+
182
+ return result
pyproject.toml CHANGED
@@ -5,10 +5,17 @@ description = "Add your description here"
5
  readme = "README.md"
6
  requires-python = ">=3.12"
7
  dependencies = [
 
 
 
 
8
  "matplotlib>=3.10.8",
9
  "numpy>=2.3.5",
10
  "pandas>=2.3.3",
11
  "python-dotenv>=1.2.1",
 
12
  "scikit-learn>=1.8.0",
13
  "seaborn>=0.13.2",
 
 
14
  ]
 
5
  readme = "README.md"
6
  requires-python = ">=3.12"
7
  dependencies = [
8
+ "diskcache>=5.6.3",
9
+ "fastapi>=0.124.4",
10
+ "groq>=0.37.1",
11
+ "huggingface-hub>=1.2.3",
12
  "matplotlib>=3.10.8",
13
  "numpy>=2.3.5",
14
  "pandas>=2.3.3",
15
  "python-dotenv>=1.2.1",
16
+ "requests>=2.32.5",
17
  "scikit-learn>=1.8.0",
18
  "seaborn>=0.13.2",
19
+ "tqdm>=4.67.1",
20
+ "uvicorn>=0.38.0",
21
  ]
uv.lock CHANGED
@@ -2,27 +2,159 @@ version = 1
2
  revision = 3
3
  requires-python = ">=3.12"
4
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
5
  [[package]]
6
  name = "cluster"
7
  version = "0.1.0"
8
  source = { virtual = "." }
9
  dependencies = [
 
 
 
 
10
  { name = "matplotlib" },
11
  { name = "numpy" },
12
  { name = "pandas" },
13
  { name = "python-dotenv" },
 
14
  { name = "scikit-learn" },
15
  { name = "seaborn" },
 
 
16
  ]
17
 
18
  [package.metadata]
19
  requires-dist = [
 
 
 
 
20
  { name = "matplotlib", specifier = ">=3.10.8" },
21
  { name = "numpy", specifier = ">=2.3.5" },
22
  { name = "pandas", specifier = ">=2.3.3" },
23
  { name = "python-dotenv", specifier = ">=1.2.1" },
 
24
  { name = "scikit-learn", specifier = ">=1.8.0" },
25
  { name = "seaborn", specifier = ">=0.13.2" },
 
 
 
 
 
 
 
 
 
 
 
26
  ]
27
 
28
  [[package]]
@@ -100,6 +232,48 @@ wheels = [
100
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101
  ]
102
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
103
  [[package]]
104
  name = "fonttools"
105
  version = "4.61.0"
@@ -141,6 +315,128 @@ wheels = [
141
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142
  ]
143
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
144
  [[package]]
145
  name = "joblib"
146
  version = "1.5.2"
@@ -464,6 +760,92 @@ wheels = [
464
  { url = "https://files.pythonhosted.org/packages/c1/70/6b41bdcddf541b437bbb9f47f94d2db5d9ddef6c37ccab8c9107743748a4/pillow-12.0.0-cp314-cp314t-win_arm64.whl", hash = "sha256:99353a06902c2e43b43e8ff74ee65a7d90307d82370604746738a1e0661ccca7", size = 2525630, upload-time = "2025-10-15T18:23:57.149Z" },
465
  ]
466
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
467
  [[package]]
468
  name = "pyparsing"
469
  version = "3.2.5"
@@ -503,6 +885,67 @@ wheels = [
503
  { url = "https://files.pythonhosted.org/packages/81/c4/34e93fe5f5429d7570ec1fa436f1986fb1f00c3e0f43a589fe2bbcd22c3f/pytz-2025.2-py2.py3-none-any.whl", hash = "sha256:5ddf76296dd8c44c26eb8f4b6f35488f3ccbf6fbbd7adee0b7262d43f0ec2f00", size = 509225, upload-time = "2025-03-25T02:24:58.468Z" },
504
  ]
505
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
506
  [[package]]
507
  name = "scikit-learn"
508
  version = "1.8.0"
@@ -622,6 +1065,15 @@ wheels = [
622
  { url = "https://files.pythonhosted.org/packages/83/11/00d3c3dfc25ad54e731d91449895a79e4bf2384dc3ac01809010ba88f6d5/seaborn-0.13.2-py3-none-any.whl", hash = "sha256:636f8336facf092165e27924f223d3c62ca560b1f2bb5dff7ab7fad265361987", size = 294914, upload-time = "2024-01-25T13:21:49.598Z" },
623
  ]
624
 
 
 
 
 
 
 
 
 
 
625
  [[package]]
626
  name = "six"
627
  version = "1.17.0"
@@ -631,6 +1083,28 @@ wheels = [
631
  { url = "https://files.pythonhosted.org/packages/b7/ce/149a00dd41f10bc29e5921b496af8b574d8413afcd5e30dfa0ed46c2cc5e/six-1.17.0-py2.py3-none-any.whl", hash = "sha256:4721f391ed90541fddacab5acf947aa0d3dc7d27b2e1e8eda2be8970586c3274", size = 11050, upload-time = "2024-12-04T17:35:26.475Z" },
632
  ]
633
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
634
  [[package]]
635
  name = "threadpoolctl"
636
  version = "3.6.0"
@@ -640,6 +1114,52 @@ wheels = [
640
  { url = "https://files.pythonhosted.org/packages/32/d5/f9a850d79b0851d1d4ef6456097579a9005b31fea68726a4ae5f2d82ddd9/threadpoolctl-3.6.0-py3-none-any.whl", hash = "sha256:43a0b8fd5a2928500110039e43a5eed8480b918967083ea48dc3ab9f13c4a7fb", size = 18638, upload-time = "2025-03-13T13:49:21.846Z" },
641
  ]
642
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
643
  [[package]]
644
  name = "tzdata"
645
  version = "2025.2"
@@ -648,3 +1168,25 @@ sdist = { url = "https://files.pythonhosted.org/packages/95/32/1a225d6164441be76
648
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