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# API Documentation
This document describes the PX-Web API used by hagfish to fetch Faroese fisheries statistics from the official Statbank.
## EndpointBase URL: https://statbank.hagstova.fo/api/v1/fo/H2/VV/VV01/fisknv_md.px
- **GET**: Returns metadata (table structure, dimension codes, labels)
- **POST**: Returns data in JSON-stat2 format
## Metadata Request (GET)
### Requestbash
curl -s "https://statbank.hagstova.fo/api/v1/fo/H2/VV/VV01/fisknv_md.px"
### Response Structurejson
{
"title": "AVR01010 Avreiðingar í nøgd og virði...",
"variables": [
{
"code": "measure",
"text": "mát",
"role": null,
"values": ["MASS", "VALUE"],
"valueTexts": ["Nøgd", "Virði"]
}
]
}
### Fields
| Field | Type | Description |
|-------|------|-------------|
| `title` | string | Table name in Faroese |
| `variables[].code` | string | Dimension identifier (used in queries) |
| `variables[].text` | string | Human-readable label in Faroese |
| `variables[].role` | null/string | Classification (always `null` on this endpoint) |
| `variables[].values` | string[] | Valid dimension codes |
| `variables[].valueTexts` | string[] | Display labels (parallel with `values`) |
### Verified Dimension Codes
| Variable Code | Faroese Label | Values |
|---------------|---------------|--------|
| `measure` | mát | `MASS`, `VALUE` |
| `Species (ASFIS2022)` | Fiskaslag (ASFIS2022) | `TOTAL`, `148XXXXXXX00000`, ... (72 total) |
| `Fishing Gear (ISSCFG2016)` | Reiðskapur (ISSCFG2016) | `TOTAL`, ... (12 total) |
| `Economic Zone (GEONOM2023)` | Búskapar øki (GEONOM2023) | `TOTAL`, ... (10 total) |
| `Processing (EUMOFAPresentation)` | Virking (EUMOFAPresentation) | `TOTAL`, ... (6 total) |
| `Preservation (EUMOFAPreservation)` | Viðgerð (EUMOFAPreservation) | `TOTAL`, ... (9 total) |
| `Shipsize` | Skipastødd | `TOTAL`, ... (11 total) |
| `month` | mánaður | `2015M01` through `2026M05` (137 months) |
**Note**: `role` is always `null`. Time dimension identification must use `code == "month"`.
---
## Data Request (POST)
### Request Body Formatjson
{
"query": [
{
"code": "dimension_code",
"selection": {
"filter": "item",
"values": ["value1", "value2"]
}
}
],
"response": {
"format": "json-stat2"
}
}
### Filter Types
| Filter | Values | Description |
|--------|--------|-------------|
| `item` | explicit codes | Select specific values |
| `all` | `["*"]` | Wildcard — select all values |
| `top` | `["TOP_N"]` | Top N values by magnitude |
### Example Querybash
curl -s -X POST
-H "Content-Type: application/json"
-d '{
"query": [
{"code": "month", "selection": {"filter": "item", "values": ["2024M01", "2024M02"]}},
{"code": "Species (ASFIS2022)", "selection": {"filter": "all", "values": [""]}},
{"code": "Fishing Gear (ISSCFG2016)", "selection": {"filter": "all", "values": [""]}},
{"code": "Economic Zone (GEONOM2023)", "selection": {"filter": "all", "values": ["*"]}},
{"code": "Processing (EUMOFAPresentation)", "selection": {"filter": "item", "values": ["TOTAL"]}},
{"code": "Preservation (EUMOFAPreservation)", "selection": {"filter": "item", "values": ["TOTAL"]}},
{"code": "Shipsize", "selection": {"filter": "item", "values": ["TOTAL"]}},
{"code": "measure", "selection": {"filter": "item", "values": ["MASS", "VALUE"]}}
],
"response": {"format": "json-stat2"}
}'
"https://statbank.hagstova.fo/api/v1/fo/H2/VV/VV01/fisknv_md.px"
### Cell Limit
- Maximum cells per query: ~8,000,000
- Recommended maximum: 1,000,000 for reliability
- To fetch full dataset, paginate by month or use smaller dimension selections
---
## Response Format (JSON-stat2)
### Structurejson
{
"class": "dataset",
"label": "...",
"id": ["measure", "Species (ASFIS2022)", ..., "month"],
"size": [2, 72, 12, 10, 1, 1, 1, 2],
"dimension": {
"measure": {
"label": "mát",
"category": {
"index": {"MASS": 0, "VALUE": 1},
"label": {"MASS": "Nøgd", "VALUE": "Virði"}
}
}
},
"value": [73653738, 1234567, ...]
}
### Fields
| Field | Description |
|-------|-------------|
| `id` | Array of dimension codes in order (defines cube layout) |
| `size` | Cardinality per dimension (parallel with `id`) |
| `dimension.<code>.category.index` | Maps value code → numeric position in dimension |
| `dimension.<code>.category.label` | Maps value code → display text |
| `value` | Flattened array of measurements (row-major order) |
### Row-Major Index Decoding
Values are stored in row-major order: the last dimension (`month`) varies fastest.
Given `size = [2, 72, 12, 10, 1, 1, 1, 2]`:
- Flat index `0` → `[0,0,0,0,0,0,0,0]` = measure=MASS, species=TOTAL, ..., month=2024M01
- Flat index `1` → `[0,0,0,0,0,0,0,1]` = measure=MASS, species=TOTAL, ..., month=2024M02
- Flat index `2` → `[0,0,0,0,0,0,1,0]` = measure=MASS, species=SPECIES_1, ..., month=2024M01
Decoding algorithm (reverse modulo):rust
fn decode(flat_index: usize, sizes: &[usize]) -> Vec<usize> {
let mut indices = Vec::new();
let mut remaining = flat_index;
for &size in sizes.iter().rev() {
indices.push(remaining % size);
remaining /= size;
}
indices.reverse();
indices
}
### Sentinel Values
| Value | Meaning |
|-------|---------|
| `-1.0` | Missing/no data (treated as `NULL`) |
| `null` | Missing/no data (already nullable in JSON) |
---
## Known Constraints
1. **Cell limit**: ~8 million cells per query
2. **Rate limits**: Unknown — assume reasonable backoff for large downloads
3. **Language**: API responds in requested language (`fo` or `en`)
4. **Time zone**: No timezone specified — treat timestamps as local
5. **Updates**: Data updated irregularly — metadata timestamp in response header
---
## Integration Checklist
- [x] Metadata endpoint reachable via GET
- [x] POST queries return valid JSON-stat2
- [x] Dimension codes match `variables[].code` from metadata
- [x] Row-major index decoding verified
- [x] Sentinel value coercion (`-1.0` → `None`) implemented
- [x] Unicode (Faroese characters) handled correctly
- [ ] Incremental ingestion logic tested
- [ ] Parquet export tested
- [ ] Error handling for network timeouts implemented
---
## References
- Official PxWeb documentation: https://pxweb.github.io/docs/
- JSON-stat2 specification: http://json-stat.org/format/
- Hagstova Føroya: https://www.hagstova.fo/
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### Phase 1: Types & Ingestion ### Phase 1: Types & Ingestion
- [ ] 1.1 Define types in types.rs: MetadataResponse, VariableMeta, DataResponse, DataRow, Query, Selection, QueryItem, Config — all with serde derives - [x] 1.1 Define types in types.rs: MetadataResponse, VariableMeta, DataResponse, DataRow, Query, Selection, QueryItem, Config — all with serde derives
- [ ] 1.2 Implement ingest.rs::fetch_metadata(url) — GET request, parse JSON, return HashMap<(variable_code, value_code), faroese_label> - [x] 1.2 Implement ingest.rs::fetch_metadata(url) — GET request, parse JSON, return HashMap<(variable_code, value_code), faroese_label>
- [ ] 1.3 Implement ingest.rs::build_query(months: &[String]) — construct POST body with all species/gear/zones set to "*", processing/preservation/shipsize set to TOTAL, measure set to both MASS and VALUE - [x] 1.3 Implement ingest.rs::build_query(months: &[String]) — construct POST body with all species/gear/zones set to "*", processing/preservation/shipsize set to TOTAL, measure set to both MASS and VALUE
- [ ] 1.4 Implement ingest.rs::fetch_data(url, query) — POST request, parse JSON-stat2 response, return Vec<DataRow> - [x] 1.4 Implement ingest.rs::fetch_data(url, query) — POST request, parse JSON-stat2 response, return Vec<DataRow>
- [ ] 1.5 Implement ingest.rs::parse_row(row, lookup_maps) — decode key[] positions into labeled Landing struct. Handle "-" → None. - [x] 1.5 Implement ingest.rs::parse_row(row, lookup_maps) — decode key[] positions into labeled Landing struct. Handle "-" → None.
- [ ] 1.6 Write unit tests: mock JSON-stat2 response, verify key-to-label mapping, verify "-" handling, verify Faroese Unicode characters in species names (ð, á, í, ý, ø, ó) - [x] 1.6 Write unit tests: mock JSON-stat2 response, verify key-to-label mapping, verify "-" handling, verify Faroese Unicode characters in species names (ð, á, í, ý, ø, ó)
### Phase 2: DuckDB Storage ### Phase 2: DuckDB Storage
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fn main() { fn main() {
println!("Hello, world!"); println!("hagfish — not yet wired. Run tests with: cargo test");
} }
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Self { Self {
duckdb_path: "hagfish.db".to_string(), duckdb_path: "hagfish.db".to_string(),
bind_address: "127.0.0.1:8090".to_string(), bind_address: "127.0.0.1:8090".to_string(),
data_source_url: "https://statbank.hagstova.fo/data/api/table/fisknv_md".to_string(), data_source_url: "https://statbank.hagstova.fo/api/v1/fo/H2/VV/VV01/fisknv_md.px"
.to_string(),
log_file_path: Some("hagfish.log".to_string()), log_file_path: Some("hagfish.log".to_string()),
} }
} }
} }
// ---------------------------------------------------------------------------
// Metadata types (GET response)
// ---------------------------------------------------------------------------
/// Metadata response from PX-Web API GET request. /// Metadata response from PX-Web API GET request.
/// Contains variable definitions and value codes with labels. ///
/// Confirmed structure from live API:
/// ```json
/// {
/// "title": "AVR01010 ...",
/// "variables": [
/// {
/// "code": "measure",
/// "text": "mát",
/// "role": null,
/// "values": ["MASS", "VALUE"],
/// "valueTexts": ["Nøgd", "Virði"]
/// }
/// ]
/// }
/// ```
#[derive(Debug, Clone, Deserialize, Serialize)] #[derive(Debug, Clone, Deserialize, Serialize)]
pub struct MetadataResponse { pub struct MetadataResponse {
#[serde(default)]
pub title: Option<String>,
pub variables: Vec<VariableMeta>, pub variables: Vec<VariableMeta>,
pub values: HashMap<String, Vec<ValueMeta>>,
} }
/// Variable metadata describing a dimension in the PX-Web table. /// Variable metadata describing a dimension in the PX-Web table.
///
/// PxWeb v1 uses parallel string arrays for codes and labels.
/// The `role` field is null on this endpoint — do not rely on it.
#[derive(Debug, Clone, Deserialize, Serialize)] #[derive(Debug, Clone, Deserialize, Serialize)]
pub struct VariableMeta { pub struct VariableMeta {
pub id: String, /// Variable identifier used in queries (e.g. "month", "measure",
/// "Species (ASFIS2022)")
pub code: String,
/// Human-readable label in the queried language
#[serde(default)]
pub text: String, pub text: String,
pub role: String, /// Role classification — null on this endpoint
/// Position in the key array (0-indexed) #[serde(default)]
#[serde(rename = "keyPosition", skip_serializing_if = "Option::is_none")] pub role: Option<String>,
pub key_position: Option<usize>, /// Code values for this variable (parallel with valueTexts)
#[serde(default)]
pub values: Vec<String>,
/// Display labels for each value (parallel with values)
#[serde(default, rename = "valueTexts")]
pub value_texts: Vec<String>,
/// Catch-all for unknown fields
#[serde(flatten)]
pub extra: HashMap<String, serde_json::Value>,
} }
/// Value metadata: code → display label mapping for a variable. impl VariableMeta {
#[derive(Debug, Clone, Deserialize, Serialize)] /// Build a code→label lookup map from the parallel arrays.
pub struct ValueMeta { pub fn lookup_map(&self) -> HashMap<String, String> {
pub code: String, self.values
pub text: String, .iter()
.zip(self.value_texts.iter())
.map(|(code, label)| (code.clone(), label.clone()))
.collect()
}
} }
// ---------------------------------------------------------------------------
// Query types (POST request body)
// ---------------------------------------------------------------------------
/// Query body sent to PX-Web API POST endpoint. /// Query body sent to PX-Web API POST endpoint.
///
/// Confirmed format:
/// ```json
/// {
/// "query": [{"code": "month", "selection": {"filter": "item", "values": [...]}}],
/// "response": {"format": "json-stat2"}
/// }
/// ```
#[derive(Debug, Clone, Serialize)] #[derive(Debug, Clone, Serialize)]
pub struct Query { pub struct Query {
pub query: Vec<QueryItem>, pub query: Vec<QueryItem>,
pub language: String, pub response: QueryResponse,
} }
/// Single query item representing a dimension selection. /// Single query item representing a dimension selection.
#[derive(Debug, Clone, Serialize)] #[derive(Debug, Clone, Serialize)]
pub struct QueryItem { pub struct QueryItem {
pub id: String, pub code: String,
pub selection: Selection,
}
/// Selection within a query item.
#[derive(Debug, Clone, Serialize)]
pub struct Selection {
/// "item" for explicit values, "all" for wildcard, "top" for top-N
pub filter: String,
/// Values to select. For "all" filter, use ["*"].
pub values: Vec<String>, pub values: Vec<String>,
} }
/// Selection helper for building queries programmatically. /// Response format specification.
#[derive(Debug, Clone)] #[derive(Debug, Clone, Serialize)]
pub struct Selection { pub struct QueryResponse {
/// Dimension name (matches variable.id from metadata) pub format: String,
pub dimension: String,
/// Codes to include, or "*" for all
pub codes: Vec<String>,
} }
impl Default for QueryResponse {
fn default() -> Self {
Self {
format: "json-stat2".to_string(),
}
}
}
// ---------------------------------------------------------------------------
// Data response types (JSON-stat2)
// ---------------------------------------------------------------------------
/// Raw data response from PX-Web API POST request. /// Raw data response from PX-Web API POST request.
/// JSON-stat2 format with metadata and data sections.
#[derive(Debug, Clone, Deserialize, Serialize)] #[derive(Debug, Clone, Deserialize, Serialize)]
pub struct DataResponse { pub struct DataResponse {
pub dataset: Dataset, pub dataset: Dataset,
@@ -87,24 +156,52 @@ pub struct DataResponse {
pub struct Dataset { pub struct Dataset {
pub dimension: DimInfo, pub dimension: DimInfo,
pub value: Vec<Option<f64>>, pub value: Vec<Option<f64>>,
/// Status codes per value (optional)
#[serde(default, skip_serializing_if = "Vec::is_empty")]
pub status: Vec<String>,
} }
/// Dimension metadata describing key layout. /// Dimension metadata in JSON-stat2 format.
///
/// Uses a flat `id` array for ordering and a `size` array for cardinality.
/// Each dimension is keyed by its code in the `dimensions` map.
#[derive(Debug, Clone, Deserialize, Serialize)] #[derive(Debug, Clone, Deserialize, Serialize)]
pub struct DimInfo { pub struct DimInfo {
#[serde(rename = "key")] /// Ordered dimension IDs (defines cube layout)
pub keys: Vec<String>, #[serde(default)]
pub id: Vec<String>,
/// Size of each dimension
#[serde(default)]
pub size: Vec<usize>,
/// One entry per dimension, keyed by dimension code
#[serde(flatten)]
pub dimensions: HashMap<String, Dimension>,
}
/// A single dimension in the JSON-stat2 response.
#[derive(Debug, Clone, Deserialize, Serialize)]
pub struct Dimension {
/// Display label
#[serde(default)]
pub label: String,
/// Category info with index and label maps
pub category: CategoryInfo, pub category: CategoryInfo,
} }
/// Category info containing value lists for each dimension. /// Category info containing index and label maps.
#[derive(Debug, Clone, Deserialize, Serialize)] #[derive(Debug, Clone, Deserialize, Serialize)]
pub struct CategoryInfo { pub struct CategoryInfo {
pub label: HashMap<String, Vec<String>>, /// Maps category code → numeric position in the dimension
#[serde(skip_serializing_if = "Option::is_none")] pub index: HashMap<String, usize>,
pub index: Option<HashMap<String, Vec<usize>>>, /// Maps category code → display label
#[serde(default)]
pub label: HashMap<String, String>,
} }
// ---------------------------------------------------------------------------
// Internal data models
// ---------------------------------------------------------------------------
/// Decoded row of landing data with labeled dimensions. /// Decoded row of landing data with labeled dimensions.
#[derive(Debug, Clone)] #[derive(Debug, Clone)]
pub struct DataRow { pub struct DataRow {
@@ -126,7 +223,7 @@ pub struct DataRow {
pub value: Option<f64>, pub value: Option<f64>,
} }
/// Structured representation of a single landing record. /// Structured representation of a single landing record for DB insertion.
#[derive(Debug, Clone)] #[derive(Debug, Clone)]
pub struct Landing { pub struct Landing {
pub month: String, pub month: String,
@@ -141,6 +238,10 @@ pub struct Landing {
pub value: Option<f64>, pub value: Option<f64>,
} }
// ---------------------------------------------------------------------------
// Errors
// ---------------------------------------------------------------------------
/// Error types for ingestion module. /// Error types for ingestion module.
#[derive(Debug, thiserror::Error)] #[derive(Debug, thiserror::Error)]
pub enum IngestError { pub enum IngestError {
@@ -153,18 +254,21 @@ pub enum IngestError {
#[error("Missing dimension in response: {0}")] #[error("Missing dimension in response: {0}")]
MissingDimension(String), MissingDimension(String),
#[error("Invalid value code: {0}")] #[error("Invalid value: {0}")]
InvalidValueCode(String), InvalidValueCode(String),
#[error("API returned empty data set")] #[error("API returned empty data set")]
EmptyDataset, EmptyDataset,
#[error("Unicode decode error: {0}")] #[error("Dimension '{0}' not found in metadata")]
UnicodeError(String), DimensionNotFound(String),
} }
/// Lookup map for decoding key arrays into labeled values. // ---------------------------------------------------------------------------
/// Keyed by dimension name, contains code → label mappings. // Type aliases
// ---------------------------------------------------------------------------
/// Lookup map: dimension_code → (value_code → display_label).
pub type LookupMap = HashMap<String, HashMap<String, String>>; pub type LookupMap = HashMap<String, HashMap<String, String>>;
/// Result alias using custom error type. /// Result alias using custom error type.