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"""
GeoBot 2.0 Analysis Formatter
Formats analytical outputs according to GeoBot 2.0 specifications:
1. Summary conclusion
2. Governance structure analysis
3. Logistical interpretation
4. Corruption impact
5. Non-Western perspective integration
6. Scenarios (with probabilities)
7. Uncertainty factors
8. Signals to watch
"""
from typing import Dict, List, Any, Optional
from dataclasses import dataclass, field
@dataclass
class Scenario:
"""A scenario with probability estimate."""
name: str
probability: float
description: str
@dataclass
class AnalysisOutput:
"""Structured analysis output."""
summary: str
governance_analysis: Dict[str, Any]
logistics_analysis: Dict[str, Any]
corruption_assessment: Dict[str, Any]
non_western_perspective: Dict[str, Any]
scenarios: List[Scenario] = field(default_factory=list)
uncertainty_factors: List[str] = field(default_factory=list)
signals_to_watch: List[str] = field(default_factory=list)
comparative_notes: Optional[str] = None
class AnalysisFormatter:
"""
Formatter for GeoBot 2.0 analytical outputs.
Formats analysis according to the default output formula:
1. Summary conclusion
2. Governance structure analysis
3. Logistical interpretation
4. Corruption impact
5. Non-Western perspective integration
6. Scenarios (with probabilities)
7. Uncertainty factors
8. Signals to watch
"""
def __init__(self):
"""Initialize the formatter."""
self.section_separator = "\n" + "=" * 60 + "\n"
self.subsection_separator = "\n" + "-" * 60 + "\n"
def format_analysis(self, analysis: AnalysisOutput) -> str:
"""
Format complete analysis output.
Parameters
----------
analysis : AnalysisOutput
Analysis to format
Returns
-------
str
Formatted analysis
"""
sections = []
# 1. Summary
sections.append(self._format_summary(analysis.summary))
# 2. Governance Structure Analysis
sections.append(self._format_governance(analysis.governance_analysis))
# 3. Logistics
sections.append(self._format_logistics(analysis.logistics_analysis))
# 4. Corruption Dynamics
sections.append(self._format_corruption(analysis.corruption_assessment))
# 5. Non-Western Context
sections.append(self._format_non_western(analysis.non_western_perspective))
# 6. Scenarios
sections.append(self._format_scenarios(analysis.scenarios))
# 7. Uncertainty
sections.append(self._format_uncertainty(analysis.uncertainty_factors))
# 8. Signals to Watch
sections.append(self._format_signals(analysis.signals_to_watch))
# 9. Comparative Note (if present)
if analysis.comparative_notes:
sections.append(self._format_comparative(analysis.comparative_notes))
return self.section_separator.join(sections)
def _format_summary(self, summary: str) -> str:
"""Format assessment summary."""
return f"""ASSESSMENT:
{summary}"""
def _format_governance(self, governance: Dict[str, Any]) -> str:
"""Format governance structure analysis."""
output = ["GOVERNANCE STRUCTURE CONTEXT:"]
if 'system_type' in governance:
output.append(f"\nSystem Type: {governance['system_type']}")
if 'advantages' in governance:
output.append("\nAdvantages:")
for adv in governance['advantages']:
output.append(f" - {adv}")
if 'disadvantages' in governance:
output.append("\nDisadvantages:")
for dis in governance['disadvantages']:
output.append(f" - {dis}")
if 'trade_off' in governance:
output.append(f"\nTrade-off: {governance['trade_off']}")
if 'context_specific_advantage' in governance:
output.append(f"\nContextual Advantage: {governance['context_specific_advantage']}")
return "\n".join(output)
def _format_logistics(self, logistics: Dict[str, Any]) -> str:
"""Format logistics analysis."""
output = ["LOGISTICS:"]
if 'assessment' in logistics:
output.append(f"\n{logistics['assessment']}")
if 'supply_chain_status' in logistics:
output.append(f"\nSupply Chain Status: {logistics['supply_chain_status']}")
if 'maintenance_capacity' in logistics:
output.append(f"Maintenance Capacity: {logistics['maintenance_capacity']}")
if 'key_constraints' in logistics:
output.append("\nKey Constraints:")
for constraint in logistics['key_constraints']:
output.append(f" - {constraint}")
if 'mitigating_factors' in logistics:
output.append("\nMitigating Factors:")
for factor in logistics['mitigating_factors']:
output.append(f" - {factor}")
return "\n".join(output)
def _format_corruption(self, corruption: Dict[str, Any]) -> str:
"""Format corruption assessment."""
output = ["CORRUPTION DYNAMICS:"]
if 'corruption_type' in corruption:
output.append(f"\nCorruption Type: {corruption['corruption_type']}")
if 'evidence' in corruption:
output.append(f"\nEvidence: {corruption['evidence']}")
if 'operational_impact' in corruption:
output.append(f"\nOperational Impact: {corruption['operational_impact']}")
if 'comparison' in corruption:
output.append(f"\nComparative Context: {corruption['comparison']}")
if 'risk_assessment' in corruption:
output.append(f"\nRisk: {corruption['risk_assessment']}")
return "\n".join(output)
def _format_non_western(self, non_western: Dict[str, Any]) -> str:
"""Format non-Western perspective."""
output = ["NON-WESTERN CONTEXT:"]
if 'analysis_framework' in non_western:
output.append(f"\n{non_western['analysis_framework']}")
if 'indigenous_strengths' in non_western:
output.append("\nIndigenous Strengths:")
for strength in non_western['indigenous_strengths']:
output.append(f" - {strength}")
if 'structural_constraints' in non_western:
output.append("\nStructural Constraints:")
for constraint in non_western['structural_constraints']:
output.append(f" - {constraint}")
if 'institutional_context' in non_western:
output.append(f"\nInstitutional Context: {non_western['institutional_context']}")
if 'key_distinction' in non_western:
output.append(f"\nKey Distinction: {non_western['key_distinction']}")
return "\n".join(output)
def _format_scenarios(self, scenarios: List[Scenario]) -> str:
"""Format scenario probabilities."""
output = ["SCENARIOS:"]
if not scenarios:
output.append("\n(Scenarios require additional context)")
return "\n".join(output)
# Sort by probability descending
sorted_scenarios = sorted(scenarios, key=lambda s: s.probability, reverse=True)
for scenario in sorted_scenarios:
output.append(f"\n• {scenario.name} ({scenario.probability:.2f})")
output.append(f" {scenario.description}")
return "\n".join(output)
def _format_uncertainty(self, uncertainty_factors: List[str]) -> str:
"""Format uncertainty factors."""
output = ["UNCERTAINTY:"]
if not uncertainty_factors:
output.append("\n(Standard intelligence limitations apply)")
return "\n".join(output)
for factor in uncertainty_factors:
output.append(f" - {factor}")
return "\n".join(output)
def _format_signals(self, signals: List[str]) -> str:
"""Format signals to watch."""
output = ["SIGNALS TO WATCH:"]
if not signals:
output.append("\n(Ongoing monitoring required)")
return "\n".join(output)
for signal in signals:
output.append(f" - {signal}")
return "\n".join(output)
def _format_comparative(self, comparative_note: str) -> str:
"""Format comparative note."""
return f"""COMPARATIVE NOTE:
{comparative_note}"""
def create_structured_output(
self,
summary: str,
governance: Dict[str, Any],
logistics: Dict[str, Any],
corruption: Dict[str, Any],
non_western: Dict[str, Any],
scenarios: Optional[List[Dict[str, Any]]] = None,
uncertainty: Optional[List[str]] = None,
signals: Optional[List[str]] = None,
comparative: Optional[str] = None
) -> AnalysisOutput:
"""
Create structured analysis output.
Parameters
----------
summary : str
Assessment summary
governance : Dict[str, Any]
Governance structure analysis
logistics : Dict[str, Any]
Logistics analysis
corruption : Dict[str, Any]
Corruption assessment
non_western : Dict[str, Any]
Non-Western perspective
scenarios : Optional[List[Dict[str, Any]]]
List of scenarios with probabilities
uncertainty : Optional[List[str]]
Uncertainty factors
signals : Optional[List[str]]
Signals to watch
comparative : Optional[str]
Comparative note
Returns
-------
AnalysisOutput
Structured output
"""
scenario_objects = []
if scenarios:
scenario_objects = [
Scenario(
name=s['name'],
probability=s['probability'],
description=s['description']
)
for s in scenarios
]
return AnalysisOutput(
summary=summary,
governance_analysis=governance,
logistics_analysis=logistics,
corruption_assessment=corruption,
non_western_perspective=non_western,
scenarios=scenario_objects,
uncertainty_factors=uncertainty or [],
signals_to_watch=signals or [],
comparative_notes=comparative
)
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