fbad3f5538
- cli/commands/analyst.py: delete partial parquet file on download failure to unblock re-download - cli/commands/analyst.py: escape single quotes in parquet path to prevent SQL injection - app/api/metrics.py: replace tempfile-based import with inline YAML parse + direct repo.create(); validates name+category upfront and returns 400 if missing; removes os/tempfile imports - CLAUDE.md: update schema version text to v4 with full migration chain Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
461 lines
16 KiB
Python
461 lines
16 KiB
Python
"""Analyst bootstrap commands — da analyst setup, da analyst status."""
|
|
|
|
import json
|
|
import re
|
|
from datetime import datetime, timezone
|
|
from pathlib import Path
|
|
from typing import Optional
|
|
from urllib.parse import urlparse
|
|
|
|
import typer
|
|
|
|
_SAFE_IDENTIFIER = re.compile(r"^[a-zA-Z_][a-zA-Z0-9_]{0,63}$")
|
|
|
|
analyst_app = typer.Typer(help="Analyst workspace bootstrap and status")
|
|
|
|
# ---------------------------------------------------------------------------
|
|
# Helper: detect existing workspace
|
|
# ---------------------------------------------------------------------------
|
|
|
|
_CLAUDE_MD_MARKER = "AI Data Analyst"
|
|
|
|
|
|
def _detect_existing_project(workspace: Path) -> bool:
|
|
"""Return True if CLAUDE.md with the analyst identifier already exists."""
|
|
claude_md = workspace / "CLAUDE.md"
|
|
if claude_md.exists():
|
|
content = claude_md.read_text(encoding="utf-8")
|
|
return _CLAUDE_MD_MARKER in content
|
|
return False
|
|
|
|
|
|
# ---------------------------------------------------------------------------
|
|
# Helper: connect to instance (health check + authenticate)
|
|
# ---------------------------------------------------------------------------
|
|
|
|
def _connect_to_instance(server_url: str) -> str:
|
|
"""Health-check the server, prompt for credentials, save config, return JWT."""
|
|
import httpx
|
|
from cli.config import save_config, save_token
|
|
|
|
server_url = server_url.rstrip("/")
|
|
|
|
# Health check
|
|
try:
|
|
resp = httpx.get(f"{server_url}/api/health", timeout=10.0)
|
|
resp.raise_for_status()
|
|
except Exception as e:
|
|
typer.echo(f"Cannot reach {server_url}: {e}", err=True)
|
|
raise typer.Exit(1)
|
|
|
|
typer.echo(f"Connected to {server_url}")
|
|
|
|
# Authenticate
|
|
email = typer.prompt("Email")
|
|
password = typer.prompt("Password", hide_input=True)
|
|
|
|
try:
|
|
resp = httpx.post(
|
|
f"{server_url}/auth/token",
|
|
json={"email": email, "password": password},
|
|
timeout=15.0,
|
|
)
|
|
resp.raise_for_status()
|
|
data = resp.json()
|
|
except httpx.HTTPStatusError as e:
|
|
if e.response.status_code == 401:
|
|
typer.echo("Authentication failed: invalid credentials", err=True)
|
|
elif e.response.status_code == 403:
|
|
typer.echo("Authentication failed: account disabled or forbidden", err=True)
|
|
else:
|
|
typer.echo(f"Authentication failed: HTTP {e.response.status_code}", err=True)
|
|
raise typer.Exit(1)
|
|
except httpx.TimeoutException:
|
|
typer.echo(f"Authentication failed: connection timeout to {server_url}", err=True)
|
|
raise typer.Exit(1)
|
|
except Exception as e:
|
|
typer.echo(f"Authentication failed: {e}", err=True)
|
|
raise typer.Exit(1)
|
|
|
|
token = data.get("access_token")
|
|
if not token:
|
|
typer.echo("Authentication failed: server response missing access_token", err=True)
|
|
raise typer.Exit(1)
|
|
role = data.get("role", "analyst")
|
|
|
|
save_config({"server": server_url})
|
|
save_token(token, email, role)
|
|
typer.echo(f"Authenticated as {email} (role: {role})")
|
|
return token
|
|
|
|
|
|
# ---------------------------------------------------------------------------
|
|
# Helper: create workspace directory structure
|
|
# ---------------------------------------------------------------------------
|
|
|
|
def _create_workspace(workspace: Path) -> None:
|
|
"""Create the analyst workspace directory layout."""
|
|
dirs = [
|
|
workspace / "data" / "parquet",
|
|
workspace / "data" / "duckdb",
|
|
workspace / "data" / "metadata",
|
|
workspace / "user" / "artifacts",
|
|
workspace / "user" / "sessions",
|
|
workspace / ".claude",
|
|
]
|
|
for d in dirs:
|
|
d.mkdir(parents=True, exist_ok=True)
|
|
|
|
|
|
# ---------------------------------------------------------------------------
|
|
# Helper: download metadata
|
|
# ---------------------------------------------------------------------------
|
|
|
|
def _download_metadata(workspace: Path, server_url: str, token: str) -> None:
|
|
"""Fetch catalog tables and metrics from the server; save as JSON files."""
|
|
import httpx
|
|
|
|
server_url = server_url.rstrip("/")
|
|
headers = {"Authorization": f"Bearer {token}"}
|
|
metadata_dir = workspace / "data" / "metadata"
|
|
|
|
# Catalog tables
|
|
try:
|
|
resp = httpx.get(f"{server_url}/api/catalog/tables", headers=headers, timeout=30.0)
|
|
resp.raise_for_status()
|
|
tables = resp.json()
|
|
except Exception as e:
|
|
typer.echo(f"Warning: could not fetch catalog tables: {e}", err=True)
|
|
tables = []
|
|
|
|
(metadata_dir / "schema.json").write_text(
|
|
json.dumps(tables, indent=2, ensure_ascii=False), encoding="utf-8"
|
|
)
|
|
|
|
# Metrics
|
|
try:
|
|
resp = httpx.get(f"{server_url}/api/metrics", headers=headers, timeout=30.0)
|
|
resp.raise_for_status()
|
|
metrics = resp.json()
|
|
except Exception as e:
|
|
typer.echo(f"Warning: could not fetch metrics: {e}", err=True)
|
|
metrics = []
|
|
|
|
(metadata_dir / "metrics.json").write_text(
|
|
json.dumps(metrics, indent=2, ensure_ascii=False), encoding="utf-8"
|
|
)
|
|
|
|
# Write last_sync timestamp
|
|
last_sync = {"synced_at": datetime.now(timezone.utc).isoformat()}
|
|
(metadata_dir / "last_sync.json").write_text(
|
|
json.dumps(last_sync, indent=2), encoding="utf-8"
|
|
)
|
|
|
|
|
|
# ---------------------------------------------------------------------------
|
|
# Helper: download parquet data
|
|
# ---------------------------------------------------------------------------
|
|
|
|
def _download_data(workspace: Path, server_url: str, token: str) -> int:
|
|
"""Stream parquets for each registered table. Returns count of files downloaded."""
|
|
import httpx
|
|
|
|
server_url = server_url.rstrip("/")
|
|
headers = {"Authorization": f"Bearer {token}"}
|
|
parquet_dir = workspace / "data" / "parquet"
|
|
|
|
# Fetch manifest to know which tables exist
|
|
try:
|
|
resp = httpx.get(f"{server_url}/api/sync/manifest", headers=headers, timeout=30.0)
|
|
resp.raise_for_status()
|
|
manifest = resp.json()
|
|
except Exception as e:
|
|
typer.echo(f"Warning: could not fetch data manifest: {e}", err=True)
|
|
return 0
|
|
|
|
tables = manifest.get("tables", {})
|
|
downloaded = 0
|
|
|
|
for table_id in tables:
|
|
target = parquet_dir / f"{table_id}.parquet"
|
|
if target.exists():
|
|
typer.echo(f" Skipping {table_id} (already exists)")
|
|
continue
|
|
|
|
try:
|
|
with httpx.stream(
|
|
"GET",
|
|
f"{server_url}/api/data/{table_id}/download",
|
|
headers=headers,
|
|
timeout=300.0,
|
|
) as stream_resp:
|
|
stream_resp.raise_for_status()
|
|
with open(target, "wb") as fh:
|
|
for chunk in stream_resp.iter_bytes(chunk_size=65536):
|
|
fh.write(chunk)
|
|
downloaded += 1
|
|
typer.echo(f" Downloaded {table_id}")
|
|
except Exception as e:
|
|
typer.echo(f" Warning: could not download {table_id}: {e}", err=True)
|
|
if target.exists():
|
|
target.unlink()
|
|
|
|
return downloaded
|
|
|
|
|
|
# ---------------------------------------------------------------------------
|
|
# Helper: initialise DuckDB
|
|
# ---------------------------------------------------------------------------
|
|
|
|
def _initialize_duckdb(workspace: Path) -> int:
|
|
"""Create DuckDB views over parquets. Returns total row count across all views."""
|
|
import duckdb
|
|
|
|
parquet_dir = workspace / "data" / "parquet"
|
|
db_path = workspace / "data" / "duckdb" / "analytics.duckdb"
|
|
db_path.parent.mkdir(parents=True, exist_ok=True)
|
|
|
|
conn = duckdb.connect(str(db_path))
|
|
total_rows = 0
|
|
|
|
parquet_dir_resolved = parquet_dir.resolve()
|
|
for pq_file in parquet_dir.glob("*.parquet"):
|
|
view_name = pq_file.stem
|
|
# Validate path is within the expected parquet directory (no path traversal)
|
|
try:
|
|
pq_resolved = pq_file.resolve()
|
|
pq_resolved.relative_to(parquet_dir_resolved)
|
|
except ValueError:
|
|
typer.echo(f" Warning: Skipping {pq_file.name}: path traversal detected", err=True)
|
|
continue
|
|
# Validate view name is a safe SQL identifier
|
|
if not _SAFE_IDENTIFIER.match(view_name):
|
|
typer.echo(f" Warning: Skipping {pq_file.name}: unsafe view name", err=True)
|
|
continue
|
|
abs_path = str(pq_resolved)
|
|
safe_path = abs_path.replace("'", "''")
|
|
try:
|
|
conn.execute(f'DROP VIEW IF EXISTS "{view_name}"')
|
|
conn.execute(
|
|
f"CREATE VIEW \"{view_name}\" AS SELECT * FROM read_parquet('{safe_path}')"
|
|
)
|
|
count = conn.execute(f'SELECT count(*) FROM "{view_name}"').fetchone()[0]
|
|
total_rows += count
|
|
except Exception as e:
|
|
typer.echo(f" Warning: could not create view for {view_name}: {e}", err=True)
|
|
|
|
conn.close()
|
|
return total_rows
|
|
|
|
|
|
# ---------------------------------------------------------------------------
|
|
# Helper: resolve instance name
|
|
# ---------------------------------------------------------------------------
|
|
|
|
def _get_instance_name(server_url: str, token: str) -> str:
|
|
"""Retrieve instance name from /api/health, fall back to hostname."""
|
|
import httpx
|
|
|
|
server_url = server_url.rstrip("/")
|
|
headers = {"Authorization": f"Bearer {token}"}
|
|
|
|
try:
|
|
resp = httpx.get(f"{server_url}/api/health", headers=headers, timeout=10.0)
|
|
if resp.status_code == 200:
|
|
data = resp.json()
|
|
name = data.get("instance_name") or data.get("name")
|
|
if name:
|
|
return name
|
|
except Exception:
|
|
pass
|
|
|
|
# Fall back to hostname extracted from URL
|
|
parsed = urlparse(server_url)
|
|
return parsed.hostname or "AI Data Analyst"
|
|
|
|
|
|
# ---------------------------------------------------------------------------
|
|
# Helper: generate CLAUDE.md from template
|
|
# ---------------------------------------------------------------------------
|
|
|
|
def _generate_claude_md(
|
|
workspace: Path,
|
|
instance_name: str,
|
|
server_url: str,
|
|
sync_interval: str,
|
|
) -> None:
|
|
"""Write CLAUDE.md from the template; create CLAUDE.local.md if absent."""
|
|
# Locate template relative to this file (../../config/claude_md_template.txt)
|
|
here = Path(__file__).parent
|
|
template_path = here.parent.parent / "config" / "claude_md_template.txt"
|
|
|
|
if template_path.exists():
|
|
template = template_path.read_text(encoding="utf-8")
|
|
else:
|
|
# Fallback minimal template
|
|
template = (
|
|
"# {instance_name} — AI Data Analyst\n\n"
|
|
"This workspace is connected to {server_url}.\n\n"
|
|
"- Data on the server refreshes every {sync_interval}\n"
|
|
)
|
|
|
|
content = (
|
|
template
|
|
.replace("{instance_name}", instance_name)
|
|
.replace("{server_url}", server_url)
|
|
.replace("{sync_interval}", sync_interval)
|
|
)
|
|
|
|
(workspace / "CLAUDE.md").write_text(content, encoding="utf-8")
|
|
|
|
# .claude/CLAUDE.local.md — never overwrite if it already exists
|
|
local_md = workspace / ".claude" / "CLAUDE.local.md"
|
|
if not local_md.exists():
|
|
local_md.write_text(
|
|
"# My Notes\n\n"
|
|
"Personal notes for this workspace. Uploaded to the server on `da sync --upload-only`.\n",
|
|
encoding="utf-8",
|
|
)
|
|
|
|
settings_path = workspace / ".claude" / "settings.json"
|
|
if not settings_path.exists():
|
|
settings = {"model": "sonnet", "permissions": {"allow": ["Read", "Bash", "Grep", "Glob"]}}
|
|
settings_path.write_text(json.dumps(settings, indent=2))
|
|
|
|
|
|
# ---------------------------------------------------------------------------
|
|
# Helper: data freshness check (for returning-session detection)
|
|
# ---------------------------------------------------------------------------
|
|
|
|
def _check_data_freshness(workspace: Path) -> str:
|
|
"""Return 'fresh', 'stale' (>24 h old), or 'missing'."""
|
|
last_sync_file = workspace / "data" / "metadata" / "last_sync.json"
|
|
if not last_sync_file.exists():
|
|
return "missing"
|
|
|
|
try:
|
|
data = json.loads(last_sync_file.read_text(encoding="utf-8"))
|
|
synced_at_str = data.get("synced_at", "")
|
|
if not synced_at_str:
|
|
return "missing"
|
|
synced_at = datetime.fromisoformat(synced_at_str)
|
|
age_hours = (datetime.now(timezone.utc) - synced_at).total_seconds() / 3600
|
|
return "stale" if age_hours > 24 else "fresh"
|
|
except Exception:
|
|
return "missing"
|
|
|
|
|
|
# ---------------------------------------------------------------------------
|
|
# Command: da analyst setup
|
|
# ---------------------------------------------------------------------------
|
|
|
|
@analyst_app.command()
|
|
def setup(
|
|
server_url: str = typer.Option(..., "--server-url", help="URL of the AI Data Analyst server"),
|
|
force: bool = typer.Option(False, "--force", help="Re-initialise even if workspace already exists"),
|
|
sync_interval: str = typer.Option("1 hour", "--sync-interval", help="Data refresh interval shown in CLAUDE.md"),
|
|
workspace_dir: Optional[str] = typer.Option(None, "--workspace", help="Workspace directory (default: current dir)"),
|
|
):
|
|
"""Bootstrap a new analyst workspace from a remote server."""
|
|
workspace = Path(workspace_dir).resolve() if workspace_dir else Path.cwd()
|
|
|
|
# 1. Detect existing project
|
|
if _detect_existing_project(workspace) and not force:
|
|
typer.echo(
|
|
"Existing analyst workspace detected. Use --force to re-initialise.",
|
|
err=True,
|
|
)
|
|
raise typer.Exit(1)
|
|
|
|
typer.echo(f"Setting up analyst workspace in: {workspace}")
|
|
|
|
# 2. Connect to instance
|
|
token = _connect_to_instance(server_url)
|
|
|
|
# 3. Create workspace directory structure
|
|
typer.echo("Creating workspace directories...")
|
|
_create_workspace(workspace)
|
|
|
|
# 4. Download metadata
|
|
typer.echo("Downloading metadata...")
|
|
_download_metadata(workspace, server_url, token)
|
|
|
|
# 5. Download data
|
|
typer.echo("Downloading data...")
|
|
n_downloaded = _download_data(workspace, server_url, token)
|
|
|
|
# 6. Initialise DuckDB
|
|
typer.echo("Initialising DuckDB views...")
|
|
total_rows = _initialize_duckdb(workspace)
|
|
|
|
# 7. Generate CLAUDE.md
|
|
typer.echo("Generating CLAUDE.md...")
|
|
instance_name = _get_instance_name(server_url, token)
|
|
_generate_claude_md(workspace, instance_name, server_url, sync_interval)
|
|
|
|
# 8. Summary
|
|
typer.echo("")
|
|
typer.echo("Setup complete!")
|
|
typer.echo(f" Instance : {instance_name}")
|
|
typer.echo(f" Server : {server_url}")
|
|
typer.echo(f" Tables : {n_downloaded} downloaded, {total_rows} total rows")
|
|
typer.echo(f" Workspace: {workspace}")
|
|
typer.echo("")
|
|
typer.echo("Next steps:")
|
|
typer.echo(" da sync — refresh data")
|
|
typer.echo(" da metrics list — explore available metrics")
|
|
|
|
|
|
# ---------------------------------------------------------------------------
|
|
# Command: da analyst status
|
|
# ---------------------------------------------------------------------------
|
|
|
|
@analyst_app.command()
|
|
def status(
|
|
workspace_dir: Optional[str] = typer.Option(None, "--workspace", help="Workspace directory (default: current dir)"),
|
|
as_json: bool = typer.Option(False, "--json", help="Output as JSON"),
|
|
):
|
|
"""Show workspace status and data freshness for returning sessions."""
|
|
workspace = Path(workspace_dir).resolve() if workspace_dir else Path.cwd()
|
|
|
|
exists = _detect_existing_project(workspace)
|
|
freshness = _check_data_freshness(workspace)
|
|
|
|
# Count parquet files
|
|
parquet_dir = workspace / "data" / "parquet"
|
|
parquet_count = len(list(parquet_dir.glob("*.parquet"))) if parquet_dir.exists() else 0
|
|
|
|
# Last sync timestamp
|
|
last_sync_file = workspace / "data" / "metadata" / "last_sync.json"
|
|
last_sync = "never"
|
|
if last_sync_file.exists():
|
|
try:
|
|
data = json.loads(last_sync_file.read_text(encoding="utf-8"))
|
|
last_sync = data.get("synced_at", "never")
|
|
except Exception:
|
|
pass
|
|
|
|
info = {
|
|
"workspace": str(workspace),
|
|
"initialized": exists,
|
|
"freshness": freshness,
|
|
"parquet_tables": parquet_count,
|
|
"last_sync": last_sync,
|
|
}
|
|
|
|
if as_json:
|
|
typer.echo(json.dumps(info, indent=2))
|
|
return
|
|
|
|
typer.echo(f"Workspace : {workspace}")
|
|
typer.echo(f"Initialized: {'yes' if exists else 'no'}")
|
|
typer.echo(f"Data freshness: {freshness}")
|
|
typer.echo(f"Parquet tables: {parquet_count}")
|
|
typer.echo(f"Last sync: {last_sync}")
|
|
|
|
if freshness == "stale":
|
|
typer.echo("")
|
|
typer.echo("Data is stale (>24 h). Run: da sync")
|
|
elif freshness == "missing":
|
|
typer.echo("")
|
|
typer.echo("No data found. Run: da analyst setup --server-url <url>")
|