import pytest
import json
from datetime import datetime
from pathlib import Path
def pytest_configure(config):
config.addinivalue_line(
"markers", "academic: Academic paper lifecycle tests"
)
config.addinivalue_line(
"markers", "conference: Conference submission workflow tests"
)
config.addinivalue_line(
"markers", "startup: Startup metrics and milestone tests"
)
config.addinivalue_line(
"markers", "unicorn: Unicorn status ($1B+) achievement tests"
)
config.addinivalue_line(
"markers", "ipo: IPO readiness and exit strategy tests"
)
config.addinivalue_line(
"markers", "e2e: End-to-end integration tests"
)
class TestContext:
def __init__(self):
self.start_time = datetime.now()
self.test_results = {
"academic": [],
"conference": [],
"startup": [],
"unicorn": [],
"ipo": [],
"total_passed": 0,
"total_failed": 0,
}
def add_result(self, category, test_name, passed, message=""):
self.test_results[category].append({
"test": test_name,
"passed": passed,
"message": message,
"timestamp": datetime.now().isoformat(),
})
if passed:
self.test_results["total_passed"] += 1
else:
self.test_results["total_failed"] += 1
def get_summary(self):
return {
"duration": str(datetime.now() - self.start_time),
"total_tests": self.test_results["total_passed"] + self.test_results["total_failed"],
"passed": self.test_results["total_passed"],
"failed": self.test_results["total_failed"],
"success_rate": (
self.test_results["total_passed"] /
(self.test_results["total_passed"] + self.test_results["total_failed"])
if (self.test_results["total_passed"] + self.test_results["total_failed"]) > 0
else 0
),
}
test_context = TestContext()
@pytest.fixture(scope="session")
def test_results_context():
return test_context
@pytest.fixture
def minimal_paper_rdf():
return """
@prefix : <http://example.org/paper#> .
@prefix ap: <http://example.org/academic-paper#> .
@prefix math: <http://example.org/math#> .
:MinimalPaper a ap:Paper ;
ap:title "Minimal Test" ;
ap:author "Author" ;
ap:date "2025-11-15" ;
ap:abstract "Test abstract" ;
ap:keywords "test, minimal" ;
ap:hasSection :Section1 ;
math:hasEquation :Equation1 .
:Section1 a ap:Section ;
ap:sectionNumber 1 ;
ap:sectionTitle "Introduction" ;
ap:sectionContent "This is a test section." .
:Equation1 a math:Equation ;
ap:equationName "einstein" ;
ap:equationLatex "E = mc^2" ;
math:equationNumber 1 ;
ap:equationOrder 1 ;
math:description "Einstein's mass-energy equivalence." .
"""
@pytest.fixture
def v1_paper_rdf():
return """
@prefix : <http://example.org/paper#> .
@prefix ap: <http://example.org/academic-paper#> .
@prefix math: <http://example.org/math#> .
:ChatmanPaperV1 a ap:Paper ;
ap:title "The Chatman Equation - v1" ;
ap:author "Sean Chatman" ;
ap:date "2025-11-15" ;
ap:abstract "Foundation version with core equation and basic properties" ;
ap:keywords "Chatman equation, determinism, knowledge hooks" ;
ap:hasSection :Intro ;
math:hasEquation :Eq1, :Eq2, :Eq3, :Eq4, :Eq5, :Eq6, :Eq7, :Eq8 .
:Intro a ap:Section ;
ap:sectionNumber 1 ;
ap:sectionTitle "Introduction" ;
ap:sectionContent "Foundation version of the Chatman Equation" .
:Eq1 a math:Equation ;
ap:equationName "chatman_core" ;
ap:equationLatex "A = \\mu(O)" ;
math:equationNumber 1 ;
ap:equationOrder 1 ;
math:description "Core Chatman Equation" .
:Eq2 a math:Equation ;
ap:equationName "determinism" ;
ap:equationLatex "\\forall O_1, O_2: O_1 = O_2 \\Rightarrow \\mu(O_1) = \\mu(O_2)" ;
math:equationNumber 2 ;
ap:equationOrder 2 ;
math:description "Determinism property" .
:Eq3 a math:Equation ;
ap:equationName "idempotence" ;
ap:equationLatex "\\mu \\circ \\mu = \\mu" ;
math:equationNumber 3 ;
ap:equationOrder 3 ;
math:description "Idempotence property" .
:Eq4 a math:Equation ;
ap:equationName "shard_law" ;
ap:equationLatex "\\mu(O_1 \\sqcup O_2) = \\mu(O_1) \\sqcup \\mu(O_2)" ;
math:equationNumber 4 ;
ap:equationOrder 4 ;
math:description "Shard law property" .
:Eq5 a math:Equation ;
ap:equationName "bounded_regeneration" ;
ap:equationLatex "\\mu_{t+1}(O) = \\mu_t(O) \\text{ while } \\text{drift} > \\varepsilon" ;
math:equationNumber 5 ;
ap:equationOrder 5 ;
math:description "Bounded regeneration" .
:Eq6 a math:Equation ;
ap:equationName "receipt_schema" ;
ap:equationLatex "R_t = (h_O, h_\\Gamma, h_H, h_A, h_\\mu)" ;
math:equationNumber 6 ;
ap:equationOrder 6 ;
math:description "Receipt schema" .
:Eq7 a math:Equation ;
ap:equationName "knowledge_hooks" ;
ap:equationLatex "\\text{Hooks}(O) = \\{h_i : \\text{guard}_i(O) \\Rightarrow \\text{action}_i\\}" ;
math:equationNumber 7 ;
ap:equationOrder 7 ;
math:description "Knowledge hooks definition" .
:Eq8 a math:Equation ;
ap:equationName "deterministic_proof" ;
ap:equationLatex "\\text{hash}(A) = \\text{hash}(\\mu(O)) \\Rightarrow \\text{deterministic}" ;
math:equationNumber 8 ;
ap:equationOrder 8 ;
math:description "Deterministic proof via hashing" .
"""
@pytest.fixture
def v3_paper_rdf():
v1 = v1_paper_rdf()
return v1
@pytest.fixture
def arxiv_submission_metadata():
return {
"venue": "arXiv",
"format": "arxiv",
"page_limit": None, "requirements": [
"PDF from LaTeX",
"All source files",
"Valid metadata",
],
}
@pytest.fixture
def ieee_submission_metadata():
return {
"venue": "IEEE",
"format": "ieee",
"page_limit": 8,
"requirements": [
"Two-column format",
"10pt font",
"1 inch margins",
"Proper equation numbering",
],
}
@pytest.fixture
def acm_submission_metadata():
return {
"venue": "ACM",
"format": "acm",
"page_limit": 10,
"requirements": [
"ACM template",
"Keywords required",
"CCS concepts (if applicable)",
"Proper citations",
],
}
@pytest.fixture
def neurips_submission_metadata():
return {
"venue": "NeurIPS",
"format": "neurips",
"page_limit": 8,
"reference_limit": 2,
"requirements": [
"Anonymous submission",
"Two-column format",
"NeurIPS template",
"Supplementary material allowed",
],
}
@pytest.fixture
def seed_stage_data():
return {
"stage": "Seed",
"arr": 100_000,
"customers": 1,
"team_size": 3,
"runway_months": 12,
"funding_raised": 1_000_000,
}
@pytest.fixture
def series_a_stage_data():
return {
"stage": "Series A",
"arr": 2_000_000,
"customers": 10,
"team_size": 15,
"runway_months": 18,
"funding_raised": 15_000_000,
}
@pytest.fixture
def unicorn_stage_data():
return {
"stage": "Unicorn",
"valuation": 1_000_000_000,
"arr": 250_000_000,
"customers": 500,
"team_size": 500,
"gross_margin": 0.80,
"nps": 60,
}
@pytest.fixture
def ipo_readiness_data():
return {
"audited_financials": True,
"internal_controls": True,
"board_structure": True,
"audit_committee": True,
"min_revenue": 100_000_000,
"min_growth_rate": 0.30,
"min_retention": 0.85,
"path_to_profitability": True,
}
def pytest_runtest_logreport(report):
if report.when == "call":
category = "other"
for marker in report.keywords:
if marker in ["academic", "conference", "startup", "unicorn", "ipo"]:
category = marker
break
test_context.add_result(
category,
report.nodeid,
report.outcome == "passed",
report.longreprtext if report.outcome == "failed" else "",
)
def pytest_sessionfinish(session, exitstatus):
summary = test_context.get_summary()
print("\n" + "=" * 80)
print("TEST EXECUTION SUMMARY")
print("=" * 80)
print(f"Total Tests: {summary['total_tests']}")
print(f"Passed: {summary['passed']}")
print(f"Failed: {summary['failed']}")
print(f"Success Rate: {summary['success_rate']:.1%}")
print(f"Duration: {summary['duration']}")
print("=" * 80)