2SABVMY3A2RZDF3KJXZSMJ2UQ4Q5EW422G4DVBJRKK26S2ESGVQAC U4VCAFXQNTKC7KWWE3B2JJMZMFRGLBOHSZIOXCE6EEXW7WE2Q5NAC GQVS55HIQLU7KPJNRMF57QUM4EATSWFQRCS7ZEJMJPUXFX2NHSYAC 4MG5JFXTKAE3SOVKGGNKEUTNCKOWEBHTGKVZHJWLWE3PTZTQKHPAC 77SIQZ3EGGV6KSECMLPDKQFGEC7CCFAPWGER7ZARQ5STDKJNU6GQC LVMGQJGH34VSGZCB74IQEJIVFNJE6OPQQCF7IPS72NPVMIUFBV4AC CUADTSHQNPGMWHIJCWXKHNNIY4UJOYZ7XBZA5CJ2VVJJAMSNT4BAC JTX5OHWHO647X4XLQPUDLH34QG2VDP7N7X6OL7XEIZQYVWELV6CAC //! Deserialize data to be served as JSON to build time-series plots.//!//! The `TSSpec::TSPageSpec::TSGraphicSpec` group of data-structures mirrors//! `ts_spec.keytree`. Its main function is TSSpec::new(PageJson//!//! The `PageJson::GraphicJson::SeriesJson` group of datastructures is convertible into Json and//! served to the client. Its main function is//!//! ```//! PageJson::new(ts_spec: TSSpec, checked_spec: Checked...)//! ```
}/// ts_spec:/// page:/// data_type: u/// country: Australia/// graphic:/// series:/// id: AUSURANAA/// id: AUSURAQS/// id: AUSURHARMADSMEI/// id: AUSURHARMMDSMEIpub fn into_json(&self,data_spec: &IndexedCheckedDataSpec,root_path: &str) -> Result<TSJson, Error>{let mut ts_json = TSJson::new();for page_spec in &self.0 {let key = page_spec.key();let mut value: Vec<GraphicJson> = Vec::new();for graphic in &page_spec.graphics {let json = graphic.into_json(data_spec, root_path)?;value.push(json);};ts_json.insert(&key, value);}Ok(ts_json)
// // We don't want to pass off responsibility to the struct's components, as we need// // to use the h HashMap, so we loop down to series.// /// Build from a `TSSpec`.// pub fn new(ts_spec: TSSpec, data_spec: IndexCheckedDataSpec) -> Self {// let ts_spec = TSSpec::from_file("ts_spec.keytree");// // loop through pages in ts_spec// let page_json = PageJson::new(// let h: HashMap<String, usize> = HashMap::new();// for (i, series) in data_spec.0.enumerate() {// for series// h.insert(series.id, i);// }// let ts:// let mut builder = TSJson(HashMap::new());// for ts_page in ts_spec.pages() {// let page_json = ts_page.to_page_json()// builder.insert(page_json.key(), page_json);// }//// PageJson(builder)// }
}pub (crate) fn into_json(&self,data_spec: &IndexedCheckedDataSpec,root_path: &str) -> Result<GraphicJson, Error>{let mut series_json = SeriesJson::new();for series_id in &self.series_ids {let ts = data_spec.time_series_data(series_id.clone(), root_path)?;let meta = data_spec.meta(series_id.to_string(), root_path);series_json.push(ts, meta);}Ok(GraphicJson {height: self.height,series: series_json,})
pub struct SeriesJson {data: Vec<(RegularTimeSeries<1>, SeriesMetaData)>,
pub struct SeriesJson(Vec<(RegularTimeSeries<1>, SeriesMetaData)>);impl SeriesJson {/// Create a new, empty `SeriesJson`.pub fn new() -> Self {SeriesJson(Vec::new())}/// Push time-series data and associated meta-data onto `SeriesJson`.pub fn push(&mut self, ts: RegularTimeSeries<1>, meta: SeriesMetaData) {self.0.push((ts, meta));}
//! seriess://! series://! data_type: u//! country: Australia//! id: AUSURAMS//! series://! data_type: u//! country: Australia//! id: AUSURANAA//! series://! data_type: u//! country: Australia//! id: AUSURAQS//! series://! data_type: u//! country: Australia//! id: AUSURHARMADSMEI//! series://! data_type: u//! country: Australia//! id: AUSURHARMMDSMEI//! ```//! ### Step 2. Check and Save Data
//! ### Step 3. Save Data//!
//! The saved data will look something like//! ```text//! seriess://! series://! data_type: u//! country: Australia//! id: AUSURAMS//! error: ok//! time_stamp: 2021-06-20 9:33:39//! series://! data_type: u//! country: Australia//! id: AUSURANAA//! error: ok//! time_stamp: 2021-06-20 9:33:41//! series://! data_type: u//! country: Australia//! id: AUSURAQS//! error: ok//! time_stamp: 2021-06-20 9:33:42//! ```
//! ### Step 4. Serve Time-series
//! To generate a generic time-series specification,//! ```//! checked_data_spec//! .from_file("data_spec.keytree")//! .bootstrap_ts_spec;//! ```//! The specification will look something like//! ```//! page://! country://! name: Australia//! graphic://! series://! id: AUSURANAA//! id: AUSURAQS//! id: AUSURHARMADSMEI//! id: AUSURHARMMDSMEI//! ```//! Once it has been generated with the full set of data, we want to be able to edit it manually.//!//! ### Step 3. Serve Time-series//!//! The structure of JSON which is served to the client is determined by `Serialize`-able data//! structures. The top structure is `TSJson`. The `ts_spec.keytree` file specifies the graphics on//! each page, and what data each graphic uses. The `ts_spec.keytree` file is deserialized into//! `TSSpec`.
//! The procedure is generally to read in the specification in `ts_spec.keytree`, and to read in the//! `data_spec.keytree` which specifies data available, and also acts as a gate-keeper for that//! data.//! ```//! // Read in the data specification.//! let data_spec = CheckedData::from_file("data_spec.keytree").indexed();//!//! // Read in the time-series specification.//! let ts_spec = TSSpec::from_file("ts_spec.keytree");//!//! // Load all data to memory. The server uses `ts_json` as a data-store to respond to data//! // requests.//! let ts_json = ts_spec.into_json(data_spec);//! ```//! Then `TSSpec` uses `IndexedCheckedDataSpec` as an argument to be converted into `TSJson`.//!//!
}}// Its better for CheckedDataSpec to be a Vec, but we need to index into the Vec, so// we wrap it with an index./// `CheckedDataSpec` wrapped in an index for faster lookup.pub struct IndexedCheckedDataSpec {data: CheckedDataSpec,index: HashMap<String, usize>,}impl IndexedCheckedDataSpec {/// Return the time-series data for `series_id`.pub fn time_series_data(&self,series_id: String,root_path: &str) -> Result<RegularTimeSeries<1>, Error>{let i = match self.index.get(&series_id) {Some(i) => i,None => {println!("Series {} not found in IndexedCheckedDataSpec::index.", series_id);panic!();},};let checked_series = self.data.series_from_index(*i);if checked_series.error != "ok" {return Err(Error::new(ErrorKind::SpecErrorStatus(series_id, checked_series.error.clone())))};let path = &format!("{}/{}/{}/{}.csv",root_path,checked_series.data_type,checked_series.country,series_id,);Ok(TimeSeries::<1>::from_csv(&path).try_into().map_err(|err| Error::new(ErrorKind::NotRegular(checked_series.id.clone())))?)}/// Return the meta-data for `series_id`.pub fn meta(&self, series_id: String, root_path: &str) -> SeriesMetaData {let i = match self.index.get(&series_id) {Some(i) => i,None => {println!("Series {} not found in IndexedCheckedDataSpec::index.", series_id);panic!();},};let checked_series = self.data.series_from_index(*i);let path = &format!("{}/{}/{}/{}.csv",root_path,checked_series.data_type,checked_series.country,series_id,);let meta_str = fs::read_to_string(path).unwrap();let kt = KeyTree::parse(&meta_str).unwrap();kt.to_ref().try_into().unwrap()
}/// Wrap CheckedDataSpec with an index into its inner `Vec`.pub fn into_indexed(self) -> IndexedCheckedDataSpec {let mut h: HashMap<String, usize> = HashMap::new();for (i, series) in self.0.iter().enumerate() {h.insert(series.id.clone(), i);}IndexedCheckedDataSpec {data: self,index: h}
impl SeriesMetaData {///pub fn from_file(data_type: DataType,country: Country,series_id: String,root_path: &str) -> Result<Self, Error>{let path = &format!("{}/{}/{}/{}.meta",root_path,data_type,country,series_id,);let meta_str = fs::read_to_string(&path).unwrap();let kt = KeyTree::parse(&meta_str).unwrap();Ok(kt.to_ref().try_into().unwrap())}}