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manual_slop/scripts/tier2/apply_t2_1_edits.py
T
ed d87d909f7b refactor(ai_client): rename send_result to send in 5 src/ call sites
Renames 10 references across app_controller, conductor_tech_lead,
mcp_client (docstring example), multi_agent_conductor, orchestrator_pm.

5 call sites in ai_client.send_result(...) -> ai_client.send(...)
3 print strings mentioning send_result
1 docstring comment (conductor_tech_lead)
1 docstring example (mcp_client) 'src.ai_client.send_result' -> 'src.ai_client.send'

Test suite state: still red, but all src/-level call sites are now
renamed. Remaining failures are in test files (mocks and patches
that still reference send_result).

Refs: conductor/tracks/send_result_to_send_20260616/
2026-06-17 00:27:47 -04:00

70 lines
2.4 KiB
Python

"""Apply the 10 send_result -> send edits in the 5 other src/ files (Phase 2)."""
from __future__ import annotations
import sys
from pathlib import Path
FILES = [
"src/app_controller.py",
"src/conductor_tech_lead.py",
"src/mcp_client.py",
"src/multi_agent_conductor.py",
"src/orchestrator_pm.py",
]
EDITS: dict[str, list[tuple[str, str]]] = {
"src/app_controller.py": [
("result = ai_client.send_result(context_to_send,", "result = ai_client.send(context_to_send,"),
("result = ai_client.send_result(\n", "result = ai_client.send(\n"),
],
"src/conductor_tech_lead.py": [
(" - Uses ai_client.send_result() for LLM communication", " - Uses ai_client.send() for LLM communication"),
("result = ai_client.send_result(\n", "result = ai_client.send(\n"),
("print(f\"[conductor_tech_lead] send_result failed: {_msg}\")", "print(f\"[conductor_tech_lead] send failed: {_msg}\")"),
],
"src/mcp_client.py": [
("'src.ai_client.send_result'", "'src.ai_client.send'"),
],
"src/multi_agent_conductor.py": [
("result = ai_client.send_result(\n", "result = ai_client.send(\n"),
("print(f\"[MMA] Worker send_result failed for {ticket.id}: {err_msg}\")", "print(f\"[MMA] Worker send failed for {ticket.id}: {err_msg}\")"),
],
"src/orchestrator_pm.py": [
("result = ai_client.send_result(\n", "result = ai_client.send(\n"),
("print(f\"[orchestrator_pm] send_result failed: {_msg}\")", "print(f\"[orchestrator_pm] send failed: {_msg}\")"),
],
}
def main() -> int:
total = 0
for rel in FILES:
p = Path(rel)
with p.open("r", encoding="utf-8", newline="") as f:
content = f.read()
has_crlf = "\r\n" in content
nl = "\r\n" if has_crlf else "\n"
edits = [(o.replace("\n", nl), n.replace("\n", nl)) for o, n in EDITS[rel]]
new_content = content
applied = 0
for old, new in edits:
if old in new_content:
new_content = new_content.replace(old, new, 1)
applied += 1
else:
print(f"NOT FOUND in {rel}: {old[:80]!r}", file=sys.stderr)
if applied != len(edits):
print(f"Only applied {applied}/{len(edits)} edits in {rel}. ABORTING.", file=sys.stderr)
return 1
with p.open("w", encoding="utf-8", newline="") as f:
f.write(new_content)
remaining = new_content.count("send_result")
print(f"{rel}: applied {applied}/{len(edits)}, remaining={remaining}")
total += applied
print(f"Total: {total} edits applied")
return 0
if __name__ == "__main__":
raise SystemExit(main())