stemedb/latent/ingest-reddit/adk-agent/stemedb_client.py
jordan b3e8a9a058 feat: Multi-application expansion with chaos testing and community UI
Major additions:
- Community Next.js app (port 18187) for browsing claims with API docs
- stemedb-chaos crate: Fault injection, chaos testing, CRDT properties
- Latent ingestion system: Reddit/FDA ingesters with ADK-Go agents
- Disputed claims handling: Manual review workflows and validation
- Aphoria security scanner: New extractors (SQL injection, command
  injection, weak crypto, TLS version), policy-based ignores, UAT reports
- Docker infrastructure: Dockerfile, docker-compose.yml for full stack
- VulnBank demo: Intentionally vulnerable multi-language test corpus

SDK & API enhancements:
- Source registry handlers for tracking data provenance
- Metrics endpoint
- Skeptic filtering improvements

Code quality:
- Split 14 large files (>500 lines) into focused modules
- All files now under 500-line limit per project guidelines

Documentation:
- Chaos testing guide, circuit breakers, observability docs
- Phase 7 UAT documentation updates
- Martin Kleppmann technical writer agent

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2026-02-04 01:24:14 -07:00

169 lines
5.0 KiB
Python

"""
StemeDB HTTP client with Ed25519 signing.
Mirrors the Go SDK pattern from sdk/go/steme/client.go
"""
from dataclasses import dataclass
from typing import Optional
import blake3
import requests
# Support both package and script imports
try:
from .config import STEMEDB_URL, SOURCE_CLASS_SOCIAL, DEFAULT_LIFECYCLE
from .signer import Signer
except ImportError:
from config import STEMEDB_URL, SOURCE_CLASS_SOCIAL, DEFAULT_LIFECYCLE
from signer import Signer
@dataclass
class AssertionResult:
"""Result from creating an assertion."""
hash: str
status: str
@dataclass
class HealthResult:
"""Result from health check."""
status: str
version: str
assertions_count: int
class StemeDBClient:
"""
StemeDB HTTP API client with automatic signing.
All assertions are automatically signed using the provided Signer.
"""
def __init__(self, base_url: str = STEMEDB_URL, signer: Optional[Signer] = None):
"""
Create a new StemeDB API client.
Args:
base_url: API endpoint (e.g., "http://localhost:18180")
signer: Signer for automatic assertion signing
"""
self.base_url = base_url.rstrip("/")
self.signer = signer
self._session = requests.Session()
self._session.headers.update(
{
"Content-Type": "application/json",
"Accept": "application/json",
}
)
if signer:
self._session.headers["X-Agent-Id"] = signer.public_key
def health(self) -> HealthResult:
"""Check the API health status."""
resp = self._session.get(f"{self.base_url}/v1/health")
resp.raise_for_status()
data = resp.json()
return HealthResult(
status=data["status"],
version=data["version"],
assertions_count=data["assertions_count"],
)
def assert_fact(
self,
subject: str,
predicate: str,
object_value: str,
confidence: float,
source_url: str,
source_class: str = SOURCE_CLASS_SOCIAL,
lifecycle: str = DEFAULT_LIFECYCLE,
source_metadata: Optional[str] = None,
) -> AssertionResult:
"""
Create a new assertion in the knowledge graph.
The assertion is automatically signed using the client's signer.
Args:
subject: Subject entity (e.g., "semaglutide")
predicate: Predicate/relation (e.g., "side_effect")
object_value: Object value (e.g., "nausea")
confidence: Confidence score (0.0 to 1.0)
source_url: URL of source evidence
source_class: Source authority tier (default: "Anecdotal")
lifecycle: Lifecycle stage (default: "Proposed")
source_metadata: Optional JSON string with structured metadata
Returns:
AssertionResult with content-addressed hash
Raises:
ValueError: If signer is not configured
requests.HTTPError: If the API request fails
"""
if not self.signer:
raise ValueError("Signer required for assertions")
# Compute source hash from URL (BLAKE3)
source_hash = blake3.blake3(source_url.encode("utf-8")).hexdigest()
# Create signature (v1 format: signs subject:predicate)
signature = self.signer.create_signature(subject, predicate)
# Build request payload
# Note: ObjectValueDto uses adjacently tagged serde format
payload = {
"subject": subject,
"predicate": predicate,
"object": {"type": "Text", "value": object_value},
"confidence": confidence,
"source_hash": source_hash,
"source_class": source_class,
"lifecycle": lifecycle,
"signatures": [
{
"agent_id": signature.agent_id,
"signature": signature.signature,
"timestamp": signature.timestamp,
"version": signature.version,
}
],
}
if source_metadata:
payload["source_metadata"] = source_metadata
resp = self._session.post(f"{self.base_url}/v1/assert", json=payload)
resp.raise_for_status()
data = resp.json()
return AssertionResult(hash=data["hash"], status=data["status"])
def store_source(self, content: bytes, content_type: str) -> str:
"""
Store a source document and return its BLAKE3 hash.
Args:
content: Raw content bytes
content_type: MIME type (e.g., "text/plain")
Returns:
Hex-encoded BLAKE3 hash (64 chars)
"""
import base64
payload = {
"content": base64.b64encode(content).decode("ascii"),
"content_type": content_type,
}
resp = self._session.post(f"{self.base_url}/v1/source", json=payload)
resp.raise_for_status()
return resp.json()["hash"]