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557ab38 6267e20 557ab38 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 | """FastAPI endpoint tests using TestClient + dependency_overrides.
No OpenAI key is required — `get_extractor` is overridden with a fake that
returns a hand-built ExtractionResult. This tests the API layer in isolation
from the extractor.
"""
from __future__ import annotations
import io
import pytest
from fastapi.testclient import TestClient
from src.api.deps import get_extractor
from src.api.main import create_app
from src.schemas import ExtractionResult, Receipt
from src.utils.cost_tracker import ExtractionMetrics
# --- Fake extractor --------------------------------------------------------
class _FakeExtractor:
"""Stand-in for DocumentExtractor — no network. Records last call for asserts."""
def __init__(self):
self.last_call: dict = {}
def extract(self, file_bytes, filename, doc_type, *, model_override=None, render_images=True):
self.last_call = {
"filename": filename,
"doc_type": doc_type,
"size": len(file_bytes),
"model_override": model_override,
}
data = Receipt(merchant="ACME COFFEE", total=4.50, currency="USD")
result = ExtractionResult(
document_type=doc_type,
data=data,
field_confidences=[],
overall_confidence=0.95,
warnings=[],
raw_text_snippet="ACME COFFEE\nTotal: $4.50",
)
metrics = ExtractionMetrics(
input_tokens=100, output_tokens=50, latency_ms=123.4,
model=model_override or "gpt-5-nano",
)
return result, metrics
@pytest.fixture
def fake_extractor():
return _FakeExtractor()
@pytest.fixture
def client(fake_extractor):
app = create_app()
app.dependency_overrides[get_extractor] = lambda: fake_extractor
with TestClient(app) as c:
yield c
# --- Root / health ---------------------------------------------------------
class TestHealth:
def test_root(self, client):
r = client.get("/")
assert r.status_code == 200
body = r.json()
assert body["service"] == "structured-data-extraction"
assert "version" in body
def test_health(self, client):
r = client.get("/health")
assert r.status_code == 200
assert r.json() == {"status": "ok"}
def test_request_id_header_echoed(self, client):
r = client.get("/health", headers={"X-Request-ID": "test-rid-123"})
assert r.headers["X-Request-ID"] == "test-rid-123"
def test_request_id_generated_when_absent(self, client):
r = client.get("/health")
assert r.headers.get("X-Request-ID")
# --- Schemas ---------------------------------------------------------------
class TestSchemas:
def test_list_schemas(self, client):
r = client.get("/schemas")
assert r.status_code == 200
body = r.json()
assert "invoice" in body["doc_types"]
assert "receipt" in body["doc_types"]
def test_get_receipt_schema(self, client):
r = client.get("/schemas/receipt")
assert r.status_code == 200
schema = r.json()
assert schema["type"] == "object"
# Receipt has 'merchant' and 'total' as required-ish leaves
assert "properties" in schema
assert "merchant" in schema["properties"]
assert "total" in schema["properties"]
def test_unknown_doc_type_returns_400_envelope(self, client):
r = client.get("/schemas/spaceship_manual")
assert r.status_code == 400
env = r.json()
assert env["error"]["code"] == "unsupported_doc_type"
assert env["error"]["request_id"]
# --- Extract ---------------------------------------------------------------
class TestExtract:
def _upload(self, client, *, filename="receipt.png", content=b"\x89PNG\r\n\x1a\n" + b"x" * 128,
content_type="image/png", doc_type="receipt", model=None):
files = {"file": (filename, io.BytesIO(content), content_type)}
data = {"doc_type": doc_type}
if model is not None:
data["model"] = model
return client.post("/extract", files=files, data=data)
def test_extract_happy_path(self, client, fake_extractor):
r = self._upload(client)
assert r.status_code == 200, r.text
body = r.json()
assert body["result"]["document_type"] == "receipt"
assert body["result"]["data"]["merchant"] == "ACME COFFEE"
assert body["result"]["data"]["total"] == 4.5
assert body["metrics"]["input_tokens"] == 100
assert body["metrics"]["model"] == "gpt-5-nano"
# Extractor received what we uploaded
assert fake_extractor.last_call["doc_type"] == "receipt"
assert fake_extractor.last_call["filename"] == "receipt.png"
def test_extract_model_override_flows_through(self, client, fake_extractor):
r = self._upload(client, model="gpt-5.4")
assert r.status_code == 200
assert r.json()["metrics"]["model"] == "gpt-5.4"
assert fake_extractor.last_call["model_override"] == "gpt-5.4"
def test_unknown_doc_type_400(self, client):
r = self._upload(client, doc_type="spaceship_manual")
assert r.status_code == 400
assert r.json()["error"]["code"] == "unsupported_doc_type"
def test_unsupported_extension_415(self, client):
r = self._upload(client, filename="malware.exe", content=b"MZ" + b"x" * 100,
content_type="application/octet-stream")
assert r.status_code == 415
assert r.json()["error"]["code"] == "unsupported_media_type"
def test_missing_file_422(self, client):
r = client.post("/extract", data={"doc_type": "receipt"})
assert r.status_code == 422
assert r.json()["error"]["code"] == "validation_error"
def test_missing_doc_type_422(self, client):
files = {"file": ("x.png", io.BytesIO(b"\x89PNG"), "image/png")}
r = client.post("/extract", files=files)
assert r.status_code == 422
def test_empty_file_422(self, client):
r = self._upload(client, content=b"")
assert r.status_code == 422
assert r.json()["error"]["code"] == "empty_document"
def test_oversized_file_413(self, client, monkeypatch):
# Shrink the cap so we don't have to actually upload 10MB
monkeypatch.setattr("src.api.routers.extract.MAX_UPLOAD_BYTES", 32)
r = self._upload(client, content=b"\x89PNG" + b"x" * 200)
assert r.status_code == 413
env = r.json()
assert env["error"]["code"] == "file_too_large"
assert env["error"]["details"]["max_bytes"] == 32
def test_extractor_failure_502(self, client, fake_extractor):
def _raise(*_a, **_k):
raise RuntimeError("openai unreachable")
fake_extractor.extract = _raise
r = self._upload(client)
assert r.status_code == 502
assert r.json()["error"]["code"] == "extraction_failed"
# --- Error envelope shape --------------------------------------------------
class TestErrorEnvelope:
def test_envelope_has_all_fields(self, client):
r = client.get("/schemas/nope")
body = r.json()
assert set(body.keys()) == {"error"}
assert set(body["error"].keys()) >= {"code", "message", "request_id", "details"}
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