{
  "page": 1,
  "size": 50,
  "total": 2,
  "items": [
    {
      "group_name": "Supplier ABC Materials 2024",
      "group_id": "group-uuid-1",
      "category": "purchases",
      "description": "EPD-verified emission factors",
      "group_start_date": "2024-01-01",
      "group_end_date": "2024-12-31",
      "ghg_type": 1,
      "group_uploaded_by": "procurement@company.com",
      "emission_factors": [
        {
          "ef_name": "Recycled Aluminum - Supplier ABC",
          "factor_id": "factor-uuid-1",
          "tag": "advanced",
          "factor_start_date": "2024-01-01",
          "factor_end_date": "2024-12-31",
          "factor_uploaded_by": "sustainability@company.com",
          "unit_id": "kg-unit-uuid",
          "unit": {
            "id": "kg-unit-uuid",
            "name": "kilogram",
            "abbreviation": "kg",
            "type": "mass"
          },
          "additional_docs": "EPD No. ABC-2024-001",
          "emission_factor_values": [
            {
              "gas_type": "CO2",
              "value": 2.15
            },
            {
              "gas_type": "CH4",
              "value": 0.008
            },
            {
              "gas_type": "N2O",
              "value": 0.002
            }
          ]
        }
      ]
    }
  ]
}

all_data = []
page = 1

while True:
    response = requests.get(
        f"https://api.dcycle.io/api/v1/custom_emission_groups/organization_emission_data/{org_id}",
        headers=headers,
        params={"page": page, "size": 50}
    ).json()

    all_data.extend(response['items'])

    if len(all_data) >= response['total']:
        break

    page += 1

print(f"Exported {len(all_data)} groups")

# Convert to CSV or JSON for external use
import json
with open('custom_emission_data.json', 'w') as f:
    json.dump(all_data, f, indent=2)

data = requests.get(
    f"https://api.dcycle.io/api/v1/custom_emission_groups/organization_emission_data/{org_id}",
    headers=headers,
    params={"page": 1, "size": 100}
).json()

total_factors = 0
by_category = {"purchases": 0, "wastes": 0, "energy": 0}
by_tag = {"simple": 0, "advanced": 0}

for group in data['items']:
    category = group['category']
    by_category[category] += len(group['emission_factors'])
    total_factors += len(group['emission_factors'])

    for factor in group['emission_factors']:
        by_tag[factor['tag']] += 1

print(f"Custom Emission Factor Inventory:")
print(f"  Total factors: {total_factors}")
print(f"  By category:")
for cat, count in by_category.items():
    print(f"    {cat}: {count}")
print(f"  By complexity:")
for tag, count in by_tag.items():
    print(f"    {tag}: {count}")

async function buildFactorSelector() {
  const data = await axios.get(
    `https://api.dcycle.io/api/v1/custom_emission_groups/organization_emission_data/${orgId}`,
    { headers }
  ).then(res => res.data);

  const factorsByCategory = {};

  data.items.forEach(group => {
    if (!factorsByCategory[group.category]) {
      factorsByCategory[group.category] = [];
    }

    group.emission_factors.forEach(factor => {
      factorsByCategory[group.category].push({
        value: factor.factor_id,
        label: `${factor.ef_name} (${factor.unit.abbreviation})`,
        group: group.group_name,
        uncertainty: factor.uncertainty_grade
      });
    });
  });

  return factorsByCategory;
}

// Usage
const factors = await buildFactorSelector();
// { purchases: [...], wastes: [...], energy: [...] }

data = requests.get(
    f"https://api.dcycle.io/api/v1/custom_emission_groups/organization_emission_data/{org_id}",
    headers=headers,
    params={"page": 1, "size": 100}
).json()

high_uncertainty = []
missing_docs = []
expired = []

from datetime import date
today = date.today()

for group in data['items']:
    for factor in group['emission_factors']:
        # Check uncertainty
        if factor.get('uncertainty_grade', 0) > 50:
            high_uncertainty.append(factor['ef_name'])

        # Check documentation
        if not factor.get('additional_docs'):
            missing_docs.append(factor['ef_name'])

        # Check expiration
        if factor.get('factor_end_date'):
            end_date = date.fromisoformat(factor['factor_end_date'])
            if end_date < today:
                expired.append(factor['ef_name'])

print(f"Data Quality Report:")
print(f"  High uncertainty (>50%): {len(high_uncertainty)}")
print(f"  Missing documentation: {len(missing_docs)}")
print(f"  Expired factors: {len(expired)}")