Spaces:
Sleeping
Sleeping
fix: query ALL parquet shards, not just shard 0
Browse files
app.py
CHANGED
|
@@ -1,23 +1,23 @@
|
|
| 1 |
"""LawForge Data API - HuggingFace Space
|
| 2 |
|
| 3 |
FastAPI service to query CourtListener parquet data directly.
|
| 4 |
-
|
| 5 |
"""
|
| 6 |
|
| 7 |
import os
|
| 8 |
-
|
| 9 |
-
from
|
| 10 |
|
| 11 |
import duckdb
|
|
|
|
| 12 |
from fastapi import FastAPI, HTTPException, Query
|
| 13 |
from fastapi.middleware.cors import CORSMiddleware
|
| 14 |
from huggingface_hub import hf_hub_download
|
| 15 |
-
import pandas as pd
|
| 16 |
|
| 17 |
app = FastAPI(
|
| 18 |
title="LawForge Data API",
|
| 19 |
description="Query CourtListener legal data",
|
| 20 |
-
version="
|
| 21 |
)
|
| 22 |
|
| 23 |
app.add_middleware(
|
|
@@ -31,50 +31,87 @@ app.add_middleware(
|
|
| 31 |
# Configuration
|
| 32 |
DATASET_ID = "jonathanagustin/courtlistener-1"
|
| 33 |
HF_TOKEN = os.environ.get("HF_TOKEN")
|
|
|
|
|
|
|
| 34 |
|
| 35 |
-
# Cache
|
| 36 |
-
|
|
|
|
| 37 |
|
| 38 |
|
| 39 |
-
def
|
| 40 |
-
"""Download and cache
|
| 41 |
-
|
| 42 |
-
if
|
| 43 |
-
|
| 44 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 45 |
try:
|
| 46 |
local_path = hf_hub_download(
|
| 47 |
repo_id=DATASET_ID,
|
| 48 |
filename=filename,
|
| 49 |
repo_type="dataset",
|
| 50 |
-
token=HF_TOKEN
|
|
|
|
| 51 |
)
|
| 52 |
-
|
| 53 |
-
_db_cache[cache_key] = local_path
|
| 54 |
except Exception as e:
|
| 55 |
print(f"Error downloading {filename}: {e}")
|
| 56 |
-
|
| 57 |
-
|
| 58 |
-
|
| 59 |
-
|
| 60 |
-
|
| 61 |
-
|
| 62 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 63 |
try:
|
| 64 |
conn = duckdb.connect(":memory:")
|
| 65 |
-
|
| 66 |
-
|
| 67 |
-
|
| 68 |
-
result = conn.execute(sql, params).fetchdf()
|
| 69 |
else:
|
| 70 |
-
|
| 71 |
-
|
|
|
|
|
|
|
| 72 |
conn.close()
|
| 73 |
-
|
| 74 |
-
# Convert to JSON-safe format
|
| 75 |
-
import json
|
| 76 |
-
import numpy as np
|
| 77 |
-
|
| 78 |
def clean_value(v):
|
| 79 |
if v is None:
|
| 80 |
return None
|
|
@@ -85,224 +122,103 @@ def query_parquet(config: str, sql: str, params: dict = None) -> list:
|
|
| 85 |
if isinstance(v, (np.floating, np.float64)):
|
| 86 |
return float(v)
|
| 87 |
return v
|
| 88 |
-
|
| 89 |
-
|
| 90 |
-
|
| 91 |
-
|
| 92 |
-
|
| 93 |
-
|
| 94 |
-
return records
|
| 95 |
except Exception as e:
|
| 96 |
-
|
| 97 |
-
raise HTTPException(status_code=500, detail=f"Query error: {str(e)}. Traceback: {traceback.format_exc()}")
|
| 98 |
|
| 99 |
|
| 100 |
@app.get("/")
|
| 101 |
def root():
|
|
|
|
|
|
|
| 102 |
return {
|
| 103 |
"name": "LawForge Data API",
|
| 104 |
-
"version": "
|
|
|
|
| 105 |
"endpoints": {
|
| 106 |
"/health": "Health check",
|
| 107 |
-
"/rows/{config}": "Get rows
|
| 108 |
"/search/{config}": "Full-text search",
|
| 109 |
"/filter/{config}": "SQL WHERE filter",
|
|
|
|
| 110 |
}
|
| 111 |
}
|
| 112 |
|
| 113 |
|
| 114 |
@app.get("/health")
|
| 115 |
def health():
|
| 116 |
-
|
| 117 |
-
token_len = len(HF_TOKEN) if HF_TOKEN else 0
|
| 118 |
-
return {"status": "ok", "hf_token": token_status, "token_len": token_len}
|
| 119 |
|
| 120 |
|
| 121 |
-
@app.get("/
|
| 122 |
-
def
|
| 123 |
-
|
| 124 |
-
|
| 125 |
-
|
| 126 |
-
|
| 127 |
-
repo_id=DATASET_ID,
|
| 128 |
-
filename="data/courts/courts-00000.parquet",
|
| 129 |
-
repo_type="dataset",
|
| 130 |
-
token=HF_TOKEN
|
| 131 |
-
)
|
| 132 |
-
import os
|
| 133 |
-
size = os.path.getsize(local_path)
|
| 134 |
-
return {"status": "ok", "path": local_path, "size_bytes": size}
|
| 135 |
-
except Exception as e:
|
| 136 |
-
return {"status": "error", "error": str(e), "type": type(e).__name__}
|
| 137 |
-
|
| 138 |
-
|
| 139 |
-
@app.get("/test-query")
|
| 140 |
-
def test_query():
|
| 141 |
-
"""Test querying a parquet file."""
|
| 142 |
-
try:
|
| 143 |
-
path = get_parquet_path("courts")
|
| 144 |
-
conn = duckdb.connect(":memory:")
|
| 145 |
-
conn.execute(f"CREATE VIEW data AS SELECT * FROM read_parquet('{path}')")
|
| 146 |
-
result = conn.execute("SELECT COUNT(*) as cnt FROM data").fetchdf()
|
| 147 |
-
count = int(result['cnt'].iloc[0])
|
| 148 |
-
|
| 149 |
-
# Get one row
|
| 150 |
-
row = conn.execute("SELECT * FROM data LIMIT 1").fetchdf()
|
| 151 |
-
conn.close()
|
| 152 |
-
|
| 153 |
-
# Convert to dict
|
| 154 |
-
row_dict = row.to_dict(orient="records")[0] if len(row) > 0 else {}
|
| 155 |
-
|
| 156 |
-
return {"status": "ok", "count": count, "sample_row_keys": list(row_dict.keys())}
|
| 157 |
-
except Exception as e:
|
| 158 |
-
import traceback
|
| 159 |
-
return {"status": "error", "error": str(e), "type": type(e).__name__, "traceback": traceback.format_exc()}
|
| 160 |
|
| 161 |
|
| 162 |
@app.get("/rows/{config}")
|
| 163 |
-
def get_rows(
|
| 164 |
-
|
| 165 |
-
|
| 166 |
-
|
| 167 |
-
|
| 168 |
-
"""Get paginated rows from a config."""
|
| 169 |
-
import traceback
|
| 170 |
-
try:
|
| 171 |
-
sql = f"SELECT * FROM data LIMIT {limit} OFFSET {offset}"
|
| 172 |
-
rows = query_parquet(config, sql)
|
| 173 |
-
|
| 174 |
-
# Get total count
|
| 175 |
-
count_sql = "SELECT COUNT(*) as cnt FROM data"
|
| 176 |
-
count_result = query_parquet(config, count_sql)
|
| 177 |
-
total = count_result[0]["cnt"] if count_result else 0
|
| 178 |
-
|
| 179 |
-
return {
|
| 180 |
-
"rows": rows,
|
| 181 |
-
"total": total,
|
| 182 |
-
"offset": offset,
|
| 183 |
-
"limit": limit
|
| 184 |
-
}
|
| 185 |
-
except HTTPException:
|
| 186 |
-
raise
|
| 187 |
-
except Exception as e:
|
| 188 |
-
return {"error": str(e), "traceback": traceback.format_exc()}
|
| 189 |
|
| 190 |
|
| 191 |
@app.get("/search/{config}")
|
| 192 |
-
def search(
|
| 193 |
-
config:
|
| 194 |
-
|
| 195 |
-
|
| 196 |
-
|
| 197 |
-
|
| 198 |
-
|
| 199 |
-
|
| 200 |
-
|
| 201 |
-
|
| 202 |
-
|
| 203 |
-
|
| 204 |
-
|
| 205 |
-
elif config == "dockets":
|
| 206 |
-
search_cols = ["case_name", "case_name_full", "docket_number"]
|
| 207 |
-
else:
|
| 208 |
-
search_cols = ["*"]
|
| 209 |
-
|
| 210 |
-
# Create WHERE clause for text search
|
| 211 |
-
where_clauses = []
|
| 212 |
-
for col in search_cols:
|
| 213 |
-
if col == "*":
|
| 214 |
-
where_clauses.append(f"CAST(data AS VARCHAR) ILIKE '%{q}%'")
|
| 215 |
-
else:
|
| 216 |
-
where_clauses.append(f"COALESCE({col}, '') ILIKE '%{q}%'")
|
| 217 |
-
|
| 218 |
-
where = " OR ".join(where_clauses)
|
| 219 |
-
sql = f"SELECT * FROM data WHERE {where} LIMIT {limit} OFFSET {offset}"
|
| 220 |
-
rows = query_parquet(config, sql)
|
| 221 |
-
|
| 222 |
-
return {
|
| 223 |
-
"rows": rows,
|
| 224 |
-
"query": q,
|
| 225 |
-
"offset": offset,
|
| 226 |
-
"limit": limit
|
| 227 |
-
}
|
| 228 |
-
except Exception as e:
|
| 229 |
-
raise HTTPException(status_code=500, detail=str(e))
|
| 230 |
|
| 231 |
|
| 232 |
@app.get("/filter/{config}")
|
| 233 |
-
def filter_rows(
|
| 234 |
-
|
| 235 |
-
|
| 236 |
-
|
| 237 |
-
|
| 238 |
-
|
| 239 |
-
"
|
| 240 |
-
|
| 241 |
-
# Sanitize WHERE clause (basic protection)
|
| 242 |
-
forbidden = ["DROP", "DELETE", "INSERT", "UPDATE", "ALTER", "CREATE", ";"]
|
| 243 |
-
where_upper = where.upper()
|
| 244 |
-
for word in forbidden:
|
| 245 |
-
if word in where_upper:
|
| 246 |
-
raise HTTPException(status_code=400, detail=f"Forbidden SQL keyword: {word}")
|
| 247 |
-
|
| 248 |
-
sql = f"SELECT * FROM data WHERE {where} LIMIT {limit} OFFSET {offset}"
|
| 249 |
-
rows = query_parquet(config, sql)
|
| 250 |
-
|
| 251 |
-
return {
|
| 252 |
-
"rows": rows,
|
| 253 |
-
"where": where,
|
| 254 |
-
"offset": offset,
|
| 255 |
-
"limit": limit
|
| 256 |
-
}
|
| 257 |
-
except HTTPException:
|
| 258 |
-
raise
|
| 259 |
-
except Exception as e:
|
| 260 |
-
raise HTTPException(status_code=500, detail=str(e))
|
| 261 |
|
| 262 |
|
| 263 |
@app.get("/opinion/{opinion_id}")
|
| 264 |
def get_opinion(opinion_id: int):
|
| 265 |
-
"""
|
| 266 |
-
|
| 267 |
-
|
| 268 |
-
|
| 269 |
-
if not rows:
|
| 270 |
-
raise HTTPException(status_code=404, detail="Opinion not found")
|
| 271 |
-
return rows[0]
|
| 272 |
-
except HTTPException:
|
| 273 |
-
raise
|
| 274 |
-
except Exception as e:
|
| 275 |
-
raise HTTPException(status_code=500, detail=str(e))
|
| 276 |
|
| 277 |
|
| 278 |
@app.get("/cluster/{cluster_id}")
|
| 279 |
def get_cluster(cluster_id: int):
|
| 280 |
-
"""
|
| 281 |
-
|
| 282 |
-
|
| 283 |
-
|
| 284 |
-
if not rows:
|
| 285 |
-
raise HTTPException(status_code=404, detail="Cluster not found")
|
| 286 |
-
return rows[0]
|
| 287 |
-
except HTTPException:
|
| 288 |
-
raise
|
| 289 |
-
except Exception as e:
|
| 290 |
-
raise HTTPException(status_code=500, detail=str(e))
|
| 291 |
|
| 292 |
|
| 293 |
@app.get("/docket/{docket_id}")
|
| 294 |
def get_docket(docket_id: int):
|
| 295 |
-
"""
|
| 296 |
-
|
| 297 |
-
|
| 298 |
-
|
| 299 |
-
if not rows:
|
| 300 |
-
raise HTTPException(status_code=404, detail="Docket not found")
|
| 301 |
-
return rows[0]
|
| 302 |
-
except HTTPException:
|
| 303 |
-
raise
|
| 304 |
-
except Exception as e:
|
| 305 |
-
raise HTTPException(status_code=500, detail=str(e))
|
| 306 |
|
| 307 |
|
| 308 |
if __name__ == "__main__":
|
|
|
|
| 1 |
"""LawForge Data API - HuggingFace Space
|
| 2 |
|
| 3 |
FastAPI service to query CourtListener parquet data directly.
|
| 4 |
+
Uses DuckDB to query ALL parquet shards.
|
| 5 |
"""
|
| 6 |
|
| 7 |
import os
|
| 8 |
+
import json
|
| 9 |
+
from pathlib import Path
|
| 10 |
|
| 11 |
import duckdb
|
| 12 |
+
import numpy as np
|
| 13 |
from fastapi import FastAPI, HTTPException, Query
|
| 14 |
from fastapi.middleware.cors import CORSMiddleware
|
| 15 |
from huggingface_hub import hf_hub_download
|
|
|
|
| 16 |
|
| 17 |
app = FastAPI(
|
| 18 |
title="LawForge Data API",
|
| 19 |
description="Query CourtListener legal data",
|
| 20 |
+
version="2.0.0"
|
| 21 |
)
|
| 22 |
|
| 23 |
app.add_middleware(
|
|
|
|
| 31 |
# Configuration
|
| 32 |
DATASET_ID = "jonathanagustin/courtlistener-1"
|
| 33 |
HF_TOKEN = os.environ.get("HF_TOKEN")
|
| 34 |
+
CACHE_DIR = Path("/tmp/hf_cache")
|
| 35 |
+
CACHE_DIR.mkdir(parents=True, exist_ok=True)
|
| 36 |
|
| 37 |
+
# Cache
|
| 38 |
+
_shard_cache: dict[str, list[str]] = {}
|
| 39 |
+
_manifest_cache: dict = {}
|
| 40 |
|
| 41 |
|
| 42 |
+
def get_manifest() -> dict:
|
| 43 |
+
"""Download and cache the manifest."""
|
| 44 |
+
global _manifest_cache
|
| 45 |
+
if not _manifest_cache:
|
| 46 |
+
try:
|
| 47 |
+
path = hf_hub_download(
|
| 48 |
+
repo_id=DATASET_ID,
|
| 49 |
+
filename="manifest.json",
|
| 50 |
+
repo_type="dataset",
|
| 51 |
+
token=HF_TOKEN,
|
| 52 |
+
cache_dir=str(CACHE_DIR)
|
| 53 |
+
)
|
| 54 |
+
with open(path) as f:
|
| 55 |
+
_manifest_cache = json.load(f)
|
| 56 |
+
except Exception as e:
|
| 57 |
+
print(f"Error loading manifest: {e}")
|
| 58 |
+
_manifest_cache = {"tables": {}}
|
| 59 |
+
return _manifest_cache
|
| 60 |
+
|
| 61 |
+
|
| 62 |
+
def get_shard_count(config: str) -> int:
|
| 63 |
+
"""Get number of shards for a config from manifest."""
|
| 64 |
+
manifest = get_manifest()
|
| 65 |
+
table_info = manifest.get("tables", {}).get(config, {})
|
| 66 |
+
return table_info.get("shard_count", 1)
|
| 67 |
+
|
| 68 |
+
|
| 69 |
+
def download_all_shards(config: str) -> list[str]:
|
| 70 |
+
"""Download all parquet shards for a config."""
|
| 71 |
+
if config in _shard_cache:
|
| 72 |
+
return _shard_cache[config]
|
| 73 |
+
|
| 74 |
+
shard_count = get_shard_count(config)
|
| 75 |
+
print(f"Downloading {shard_count} shards for {config}...")
|
| 76 |
+
|
| 77 |
+
paths = []
|
| 78 |
+
for i in range(shard_count):
|
| 79 |
+
filename = f"data/{config}/{config}-{i:05d}.parquet"
|
| 80 |
try:
|
| 81 |
local_path = hf_hub_download(
|
| 82 |
repo_id=DATASET_ID,
|
| 83 |
filename=filename,
|
| 84 |
repo_type="dataset",
|
| 85 |
+
token=HF_TOKEN,
|
| 86 |
+
cache_dir=str(CACHE_DIR)
|
| 87 |
)
|
| 88 |
+
paths.append(local_path)
|
|
|
|
| 89 |
except Exception as e:
|
| 90 |
print(f"Error downloading {filename}: {e}")
|
| 91 |
+
|
| 92 |
+
print(f"Downloaded {len(paths)}/{shard_count} shards for {config}")
|
| 93 |
+
_shard_cache[config] = paths
|
| 94 |
+
return paths
|
| 95 |
+
|
| 96 |
+
|
| 97 |
+
def query_config(config: str, sql_template: str) -> list[dict]:
|
| 98 |
+
"""Execute SQL query across all shards of a config."""
|
| 99 |
+
paths = download_all_shards(config)
|
| 100 |
+
if not paths:
|
| 101 |
+
raise HTTPException(status_code=404, detail=f"No data found for config: {config}")
|
| 102 |
+
|
| 103 |
try:
|
| 104 |
conn = duckdb.connect(":memory:")
|
| 105 |
+
|
| 106 |
+
if len(paths) == 1:
|
| 107 |
+
conn.execute(f"CREATE VIEW data AS SELECT * FROM read_parquet('{paths[0]}')")
|
|
|
|
| 108 |
else:
|
| 109 |
+
paths_str = ", ".join(f"'{p}'" for p in paths)
|
| 110 |
+
conn.execute(f"CREATE VIEW data AS SELECT * FROM read_parquet([{paths_str}])")
|
| 111 |
+
|
| 112 |
+
result = conn.execute(sql_template).fetchdf()
|
| 113 |
conn.close()
|
| 114 |
+
|
|
|
|
|
|
|
|
|
|
|
|
|
| 115 |
def clean_value(v):
|
| 116 |
if v is None:
|
| 117 |
return None
|
|
|
|
| 122 |
if isinstance(v, (np.floating, np.float64)):
|
| 123 |
return float(v)
|
| 124 |
return v
|
| 125 |
+
|
| 126 |
+
return [{k: clean_value(v) for k, v in row.items()} for _, row in result.iterrows()]
|
| 127 |
+
|
| 128 |
+
except HTTPException:
|
| 129 |
+
raise
|
|
|
|
|
|
|
| 130 |
except Exception as e:
|
| 131 |
+
raise HTTPException(status_code=500, detail=f"Query error: {str(e)}")
|
|
|
|
| 132 |
|
| 133 |
|
| 134 |
@app.get("/")
|
| 135 |
def root():
|
| 136 |
+
manifest = get_manifest()
|
| 137 |
+
tables = list(manifest.get("tables", {}).keys())
|
| 138 |
return {
|
| 139 |
"name": "LawForge Data API",
|
| 140 |
+
"version": "2.0.0",
|
| 141 |
+
"tables": tables,
|
| 142 |
"endpoints": {
|
| 143 |
"/health": "Health check",
|
| 144 |
+
"/rows/{config}": "Get rows (all shards)",
|
| 145 |
"/search/{config}": "Full-text search",
|
| 146 |
"/filter/{config}": "SQL WHERE filter",
|
| 147 |
+
"/stats": "Dataset statistics",
|
| 148 |
}
|
| 149 |
}
|
| 150 |
|
| 151 |
|
| 152 |
@app.get("/health")
|
| 153 |
def health():
|
| 154 |
+
return {"status": "ok", "hf_token": "set" if HF_TOKEN else "not set", "token_len": len(HF_TOKEN) if HF_TOKEN else 0}
|
|
|
|
|
|
|
| 155 |
|
| 156 |
|
| 157 |
+
@app.get("/stats")
|
| 158 |
+
def stats():
|
| 159 |
+
manifest = get_manifest()
|
| 160 |
+
tables = {name: {"total_rows": info.get("total_rows", 0), "shard_count": info.get("shard_count", 0)}
|
| 161 |
+
for name, info in manifest.get("tables", {}).items()}
|
| 162 |
+
return {"updated_at": manifest.get("updated_at"), "tables": tables}
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 163 |
|
| 164 |
|
| 165 |
@app.get("/rows/{config}")
|
| 166 |
+
def get_rows(config: str, offset: int = Query(0, ge=0), limit: int = Query(20, ge=1, le=1000)):
|
| 167 |
+
manifest = get_manifest()
|
| 168 |
+
total = manifest.get("tables", {}).get(config, {}).get("total_rows", 0)
|
| 169 |
+
rows = query_config(config, f"SELECT * FROM data LIMIT {limit} OFFSET {offset}")
|
| 170 |
+
return {"rows": rows, "total": total, "offset": offset, "limit": limit}
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 171 |
|
| 172 |
|
| 173 |
@app.get("/search/{config}")
|
| 174 |
+
def search(config: str, q: str = Query(..., min_length=1), offset: int = Query(0, ge=0), limit: int = Query(20, ge=1, le=100)):
|
| 175 |
+
if config == "opinions":
|
| 176 |
+
cols = ["plain_text", "html", "author_str"]
|
| 177 |
+
elif config == "opinion-clusters":
|
| 178 |
+
cols = ["case_name", "case_name_full", "syllabus", "judges"]
|
| 179 |
+
elif config == "dockets":
|
| 180 |
+
cols = ["case_name", "case_name_full", "docket_number"]
|
| 181 |
+
else:
|
| 182 |
+
cols = ["id"]
|
| 183 |
+
|
| 184 |
+
where = " OR ".join(f"COALESCE(CAST({c} AS VARCHAR), '') ILIKE '%{q}%'" for c in cols)
|
| 185 |
+
rows = query_config(config, f"SELECT * FROM data WHERE {where} LIMIT {limit} OFFSET {offset}")
|
| 186 |
+
return {"rows": rows, "query": q, "offset": offset, "limit": limit}
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 187 |
|
| 188 |
|
| 189 |
@app.get("/filter/{config}")
|
| 190 |
+
def filter_rows(config: str, where: str = Query(..., min_length=1), offset: int = Query(0, ge=0), limit: int = Query(20, ge=1, le=1000)):
|
| 191 |
+
forbidden = ["DROP", "DELETE", "INSERT", "UPDATE", "ALTER", "CREATE", ";", "--"]
|
| 192 |
+
for word in forbidden:
|
| 193 |
+
if word in where.upper():
|
| 194 |
+
raise HTTPException(status_code=400, detail=f"Forbidden: {word}")
|
| 195 |
+
|
| 196 |
+
rows = query_config(config, f"SELECT * FROM data WHERE {where} LIMIT {limit} OFFSET {offset}")
|
| 197 |
+
return {"rows": rows, "where": where, "offset": offset, "limit": limit}
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 198 |
|
| 199 |
|
| 200 |
@app.get("/opinion/{opinion_id}")
|
| 201 |
def get_opinion(opinion_id: int):
|
| 202 |
+
rows = query_config("opinions", f"SELECT * FROM data WHERE id = '{opinion_id}'")
|
| 203 |
+
if not rows:
|
| 204 |
+
raise HTTPException(status_code=404, detail="Opinion not found")
|
| 205 |
+
return rows[0]
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 206 |
|
| 207 |
|
| 208 |
@app.get("/cluster/{cluster_id}")
|
| 209 |
def get_cluster(cluster_id: int):
|
| 210 |
+
rows = query_config("opinion-clusters", f"SELECT * FROM data WHERE id = '{cluster_id}'")
|
| 211 |
+
if not rows:
|
| 212 |
+
raise HTTPException(status_code=404, detail="Cluster not found")
|
| 213 |
+
return rows[0]
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 214 |
|
| 215 |
|
| 216 |
@app.get("/docket/{docket_id}")
|
| 217 |
def get_docket(docket_id: int):
|
| 218 |
+
rows = query_config("dockets", f"SELECT * FROM data WHERE id = '{docket_id}'")
|
| 219 |
+
if not rows:
|
| 220 |
+
raise HTTPException(status_code=404, detail="Docket not found")
|
| 221 |
+
return rows[0]
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 222 |
|
| 223 |
|
| 224 |
if __name__ == "__main__":
|