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use std::collections::{HashMap, BTreeMap};
use serde::{Serialize, Deserialize};
use serde_json::json;
use struct_metadata::{Described, Entry, Kind, MetadataKind};
use crate::JsonMap;
/// Metadata fields required for converting the structs to elasticsearch mappings
#[derive(Default, PartialEq, Eq, Debug)]
pub struct ElasticMeta {
pub index: Option<bool>,
pub store: Option<bool>,
pub copyto: Option<&'static str>,
pub mapping: Option<&'static str>,
pub analyzer: Option<&'static str>,
pub normalizer: Option<&'static str>,
}
impl MetadataKind for ElasticMeta {
fn forward_propagate_entry_defaults(&mut self, context: &ElasticMeta, kind: &ElasticMeta) {
self.index = self.index.or(kind.index).or(context.index);
self.store = self.store.or(kind.store).or(context.store);
self.copyto = self.copyto.or(kind.copyto).or(context.copyto);
self.mapping = self.mapping.or(kind.mapping).or(context.mapping);
self.analyzer = self.analyzer.or(kind.analyzer).or(context.analyzer);
self.normalizer = self.normalizer.or(kind.normalizer).or(context.normalizer);
}
}
#[derive(Serialize, Deserialize, PartialEq, Eq, Debug)]
#[serde(default)]
pub struct FieldMapping {
pub enabled: bool,
#[serde(rename="type")]
pub type_: String,
pub index: bool,
pub ignore_malformed: bool,
pub doc_values: Option<bool>,
pub ignore_above: Option<u32>,
pub copy_to: Option<String>,
pub analyzer: Option<String>,
pub normalizer: Option<String>,
}
impl Default for FieldMapping {
fn default() -> Self {
Self {
enabled: true,
ignore_malformed: false,
type_: Default::default(), index: Default::default(), doc_values: Default::default(), ignore_above: Default::default(), copy_to: Default::default(), analyzer: Default::default(), normalizer: Default::default()
}
}
}
#[derive(Serialize, Deserialize, Default, PartialEq, Eq, Debug)]
pub struct DynamicTemplate {
#[serde(rename="match")]
pub match_: Option<String>,
pub path_match: Option<String>,
pub mapping: FieldMapping,
}
#[derive(Serialize, Deserialize, Default, PartialEq, Eq, Debug)]
pub struct Mappings {
pub properties: BTreeMap<String, FieldMapping>,
pub dynamic_templates: Vec<HashMap<String, DynamicTemplate>>,
}
impl Mappings {
fn insert(&mut self, name: &str, meta: &ElasticMeta, mut field: FieldMapping) {
field.index |= meta.index.unwrap_or_default();
if field.type_ != "text" {
field.doc_values = meta.index;
}
field.copy_to = meta.copyto.map(ToOwned::to_owned);
field.analyzer = meta.analyzer.map(ToOwned::to_owned);
field.normalizer = meta.normalizer.map(ToOwned::to_owned);
self.properties.insert(name.trim_matches('.').to_owned(), field);
}
fn build_field(&mut self, label: Option<&str>, kind: &Kind<ElasticMeta>, meta: &ElasticMeta, prefix: &Vec<&str>, allow_refuse_implicit: bool) -> Result<(), MappingError> {
// resolve the absolute name for this field
let mut path = prefix.clone();
if let Some(label) = label {
path.push(label);
}
let full_name = path.join(".");
// if a mapping is simple or has been explicity set, use it
let simple_mapping = meta.mapping.or(simple_mapping(kind));
if let Some(mapping) = simple_mapping {
if mapping.eq_ignore_ascii_case("classification") {
self.insert(&full_name, meta, FieldMapping{type_: "keyword".to_owned(), ..Default::default()});
if !full_name.contains(".") {
self.properties.insert("__access_lvl__".to_owned(), FieldMapping{type_: "integer".to_owned(), index: true, ..Default::default()});
self.properties.insert("__access_req__".to_owned(), FieldMapping{type_: "keyword".to_owned(), index: true, ..Default::default()});
self.properties.insert("__access_grp1__".to_owned(), FieldMapping{type_: "keyword".to_owned(), index: true, ..Default::default()});
self.properties.insert("__access_grp2__".to_owned(), FieldMapping{type_: "keyword".to_owned(), index: true, ..Default::default()});
}
} else if mapping.eq_ignore_ascii_case("keyword") {
self.insert(&full_name, meta, FieldMapping{
type_: mapping.to_owned(),
// The maximum always safe value in elasticsearch
ignore_above: Some(8191),
..Default::default()
});
} else {
self.insert(&full_name, meta, FieldMapping{
type_: mapping.to_owned(),
..Default::default()
});
}
return Ok(());
};
// handle complex mappings
match kind {
Kind::Struct { children, .. } => {
for child in children {
self.build_field(Some(child.label), &child.type_info.kind, &child.metadata, &path, allow_refuse_implicit)?;
}
},
Kind::Aliased { name, kind } => todo!(),
Kind::Enum { name, variants } => todo!(),
Kind::Sequence(_) => todo!(),
Kind::Option(_) => todo!(),
Kind::Mapping(key, value) => {
if key.kind != Kind::String {
return Err(MappingError::OnlyStringKeys)
}
// elif isinstance(field, FlattenedObject):
// if not field.index or isinstance(field.child_type, Any):
// mappings[name.strip(".")] = {"type": "object", "enabled": False}
// else:
// dynamic.extend(build_templates(f'{name}.*', field.child_type, nested_template=True, index=field.index))
// elif isinstance(field, Mapping):
// if not field.index or isinstance(field.child_type, Any):
// mappings[name.strip(".")] = {"type": "object", "enabled": False}
// else:
// dynamic.extend(build_templates(f'{name}.*', field.child_type, index=field.index))
let index = meta.index.unwrap_or(false);
if !index || value.kind == struct_metadata::Kind::Any {
self.insert(&full_name, meta, FieldMapping{
type_: "object".to_owned(),
enabled: false,
..Default::default()
});
} else {
self.build_dynamic(&(full_name + ".*"), &value.kind, &value.metadata, false, index)?;
}
},
Kind::Any => {
// elif isinstance(field, Any):
// if field.index:
// raise ValueError(f"Any may not be indexed: {name}")
// mappings[name.strip(".")] = {
// "type": "keyword",
// "index": False,
// "doc_values": False
// }
todo!();
},
_ => return Err(MappingError::UnsupportedType(full_name, format!("{kind:?}")))
};
return Ok(())
}
// // nested_template = false
// // index = true
fn build_dynamic(&mut self, name: &str, kind: &Kind<ElasticMeta>, meta: &ElasticMeta, nested_template: bool, index: bool) -> Result<(), MappingError> {
// if isinstance(field, (Keyword, Boolean, Integer, Float, Text, Json)):
match kind {
Kind::String | Kind::U64 | Kind::I64 | Kind::U32 | Kind::I32 |
Kind::U16 | Kind::I16 | Kind::U8 | Kind::I8 |
Kind::F64 | Kind::F32 |
Kind::Bool => {
if nested_template {
self.insert_dynamic("nested_".to_owned() + name, DynamicTemplate {
match_: Some(name.to_string()),
mapping: FieldMapping {
type_: "nested".to_string(),
..Default::default()
},
..Default::default()
});
} else if let Some(mapping) = simple_mapping(kind) {
self.insert_dynamic(format!("{name}_tpl"), DynamicTemplate {
path_match: Some(name.to_owned()),
mapping: FieldMapping{
type_: mapping.to_owned(),
index: index,
copy_to: meta.copyto.map(ToOwned::to_owned),
..Default::default()
},
..Default::default()
})
} else {
return Err(MappingError::UnsupportedType(name.to_owned(), format!("{kind:?}")))
}
return Ok(())
},
// elif isinstance(field, Any) or not index:
Kind::Any | _ if !index => {
if index {
return Err(MappingError::NoIndexedAny(name.to_owned()))
}
self.insert_dynamic(format!("{name}_tpl"), DynamicTemplate {
path_match: Some(name.to_owned()),
mapping: FieldMapping {
type_: "keyword".to_owned(),
index: false,
..Default::default()
},
..Default::default()
});
return Ok(())
},
// elif isinstance(field, (Mapping, List)):
Kind::Mapping(_, child) | Kind::Sequence(child) => {
// let temp_name = if field {
// format!("{name}.{}", field.name)
// } else {
// name.to_owned()
// };
return self.build_dynamic(&name, &child.kind, &child.metadata, true, true)
}
// elif isinstance(field, Compound):
Kind::Struct { children, .. } => {
// let temp_name = name
// if field.name:
// temp_name = f"{name}.{field.name}"
// out = []
for child in children {
let sub_name = format!("{name}.{}", child.label);
self.build_dynamic(&sub_name, &child.type_info.kind, &child.metadata, false, true)?;
// out.extend(build_templates(sub_name, sub_field))
}
//
// return out
return Ok(())
}
// elif isinstance(field, Optional):
Kind::Option(kind) => {
return self.build_dynamic(name, &kind.kind, meta, nested_template, true);
// return build_templates(name, field.child_type, nested_template=nested_template)
}
_ => {}
}
todo!()
// else:
// raise NotImplementedError(f"Unknown type for elasticsearch dynamic mapping: {field.__class__}")
}
pub fn insert_dynamic(&mut self, name: String, template: DynamicTemplate) {
self.dynamic_templates.push([(name, template)].into_iter().collect());
}
}
pub fn build_mapping<T: Described<ElasticMeta>>() -> Result<Mappings, MappingError> {
let metadata = T::metadata();
if let struct_metadata::Kind::Struct { name, children } = metadata.kind {
let children: Vec<_> = children.iter().map(|entry|(Some(entry.label), &entry.type_info.kind, &entry.metadata)).collect();
build_mapping_inner(&children, vec![], true)
} else {
Err(MappingError::OnlyStructs)
}
}
/// The mapping for Elasticsearch based on a model object.
fn build_mapping_inner(children: &[(Option<&'static str>, &Kind<ElasticMeta>, &ElasticMeta)], prefix: Vec<&str>, allow_refuse_implicit: bool) -> Result<Mappings, MappingError> {
let mut mappings = Mappings::default();
// Fill in the sections
for (label, kind, meta) in children {
mappings.build_field(*label, kind, meta, &prefix, allow_refuse_implicit)?;
}
// The final template must match everything and disable indexing
// this effectively disables dynamic indexing EXCEPT for the templates
// we have defined
if mappings.dynamic_templates.is_empty() && allow_refuse_implicit {
// We cannot use the dynamic type matching if others are in play because they conflict with each other
// TODO: Find a way to make them work together.
mappings.insert_dynamic("refuse_all_implicit_mappings".to_owned(), DynamicTemplate {
match_: Some("*".to_owned()),
mapping: FieldMapping {
index: false,
ignore_malformed: true,
..Default::default()
},
..Default::default()
});
}
Ok(mappings)
}
fn build_field_mapping(mapping: &mut Mappings) -> Result<(), MappingError> {
todo!()
}
// Simple types can be resolved by a direct mapping
fn simple_mapping(kind: &Kind<ElasticMeta>) -> Option<&'static str> {
match kind {
Kind::Struct { name, children } => None,
Kind::Aliased { name, kind } => match kind.metadata.mapping {
Some(mapping) => Some(mapping),
None => simple_mapping(&kind.kind),
},
Kind::Enum { name, variants } => Some("keyword"),
Kind::Sequence(kind) => simple_mapping(&kind.kind),
Kind::Option(kind) => simple_mapping(&kind.kind),
Kind::Mapping(key, value) => None,
Kind::DateTime => Some("date"),
Kind::String => Some("keyword"),
Kind::U128 | Kind::I128 => None,
Kind::U64 | Kind::I64 | Kind::U32 | Kind::I32 | Kind::U16 | Kind::I16 | Kind::U8 | Kind::I8 => Some("integer"),
Kind::F64 | Kind::F32 => Some("float"),
Kind::Bool => Some("boolean"),
Kind::Any => Some("keyword"),
}
// Text: 'text',
// Classification: 'keyword',
// ClassificationString: 'keyword',
// UUID: 'keyword',
// IP: 'ip',
// Domain: 'keyword',
// Email: 'keyword',
// URI: 'keyword',
// UNCPath: 'keyword',
// URIPath: 'keyword',
// MAC: 'keyword',
// PhoneNumber: 'keyword',
// SSDeepHash: 'text',
// SHA1: 'keyword',
// SHA256: 'keyword',
// MD5: 'keyword',
// Platform: 'keyword',
// Processor: 'keyword',
// FlattenedObject: 'nested',
// UpperKeyword: 'keyword',
// Json: 'keyword',
// ValidatedKeyword: 'keyword'
}
// // __analyzer_mapping = {
// // SSDeepHash: 'text_fuzzy',
// // }
// // __normalizer_mapping = {
// // SHA1: 'lowercase_normalizer',
// // SHA256: 'lowercase_normalizer',
// // MD5: 'lowercase_normalizer',
// // }
// // # TODO: We might want to use custom analyzers for Classification and Enum and not create special backmapping cases
// // back_mapping = {v: k for k, v in __type_mapping.items() if k not in [Enum, Classification, UUID, IP, Domain, URI,
// // URIPath, MAC, PhoneNumber, SSDeepHash, Email,
// // SHA1, SHA256, MD5, Platform, Processor,
// // ClassificationString, Any, UpperKeyword, Json,
// // ValidatedKeyword, UNCPath]}
// // back_mapping.update({x: Keyword for x in set(__analyzer_mapping.values())})
#[derive(Debug)]
pub enum MappingError {
OnlyStructs,
UnsupportedType(String, String),
NoIndexedAny(String),
OnlyStringKeys
}
// macro_rules! json_map {
// // map-like
// ($($k:expr => $v:expr),* $(,)?) => {{
// [$(($k.to_owned(), json!($v)),)*].into_iter().collect()
// }};
// // set-like
// // ($($v:expr),* $(,)?) => {{
// // core::convert::From::from([$($v,)*])
// // }};
// }
// fn set_mapping(meta: &ElasticMeta, mut body: JsonMap) -> serde_json::Value {
// body.insert("index".to_owned(), json!(meta.index));
// if let Some(value) = body.get("type").cloned() {
// if value != "text" {
// body.insert("doc_values".to_owned(), json!(meta.index));
// }
// if value == "keyword" {
// body.insert("ignore_above".to_owned(), json!(8191)); // The maximum always safe value in elasticsearch
// }
// }
// if let Some(copyto) = meta.copyto {
// // assert len(temp_field.copyto) == 1
// body.insert("copy_to".to_owned(), json!(copyto));
// }
// if let Some(analyzer) = meta.analyzer {
// body.insert("analyzer".to_owned(), json!(analyzer));
// }
// if let Some(normalizer) = meta.normalizer {
// body.insert("normalizer".to_owned(), json!(normalizer));
// }
// return body.into()
// }
// fn field_from_mapping(mappings: &mut JsonMap, full_name: String, meta: &ElasticMeta, mapping: &str) {
// mappings.insert(full_name.trim_matches('.').to_owned(), set_mapping(meta, json_map!{
// "type" => mapping,
// }));
// }
// fn field_from_type(mappings: &mut JsonMap, dynamic: &mut Vec<serde_json::Value>, path: Vec<&str>, full_name: String, kind: &Kind<ElasticMeta>, meta: &ElasticMeta) -> Result<(), MappingError> {
// match &kind {
// struct_metadata::Kind::Struct { name, children } => {
// let children: Vec<_> = children.iter().map(|entry|(Some(entry.label), &entry.type_info.kind, &entry.metadata)).collect();
// let (mut temp_mappings, temp_dynamic) = build_mapping_inner(&children, path, false)?;
// mappings.append(&mut temp_mappings);
// dynamic.extend(temp_dynamic);
// },
// struct_metadata::Kind::Aliased { name, kind } => {
// let (m, d) = build_mapping_inner(&[(None, &kind.kind, &kind.metadata)], path, false)?;
// mappings.extend(m);
// dynamic.extend(d);
// },
// struct_metadata::Kind::Enum { name, variants } => todo!(),
// struct_metadata::Kind::Sequence(child_type) => {
// let (mut temp_mappings, temp_dynamic) = build_mapping_inner(&[(None, &child_type.kind, &child_type.metadata)], path, false)?;
// mappings.append(&mut temp_mappings);
// dynamic.extend(temp_dynamic);
// },
// struct_metadata::Kind::Option(child_type) => {
// let (mut temp_mappings, temp_dynamic) = build_mapping_inner(&[(None, &child_type.kind, &child_type.metadata)], path, false)?;
// mappings.append(&mut temp_mappings);
// dynamic.extend(temp_dynamic);
// },
// struct_metadata::Kind::Mapping(key, value) => {
// if key.kind != Kind::String {
// return Err(MappingError::OnlyStringKeys)
// }
// // elif isinstance(field, FlattenedObject):
// // if not field.index or isinstance(field.child_type, Any):
// // mappings[name.strip(".")] = {"type": "object", "enabled": False}
// // else:
// // dynamic.extend(build_templates(f'{name}.*', field.child_type, nested_template=True, index=field.index))
// // elif isinstance(field, Mapping):
// // if not field.index or isinstance(field.child_type, Any):
// // mappings[name.strip(".")] = {"type": "object", "enabled": False}
// // else:
// // dynamic.extend(build_templates(f'{name}.*', field.child_type, index=field.index))
// let index = meta.index.unwrap_or(false);
// if !index || value.kind == struct_metadata::Kind::Any {
// mappings.insert(full_name.trim_matches('.').to_owned(), json!({"type": "object", "enabled": false}));
// } else {
// dynamic.extend(build_templates(&(full_name + ".*"), &value.kind, &value.metadata, false, index)?);
// }
// },
// struct_metadata::Kind::DateTime => {mappings.insert(full_name.trim_matches('.').to_owned(), set_mapping(meta, json_map!{
// "type" => "date",
// "format" => "date_optional_time||epoch_millis",
// }));},
// struct_metadata::Kind::String => field_from_mapping(mappings, full_name, meta, "keyword"),
// struct_metadata::Kind::U128 |
// struct_metadata::Kind::I128 => return Err(MappingError::UnsupportedType(full_name, "128 bit numbers not supported".to_owned())),
// struct_metadata::Kind::U64 |
// struct_metadata::Kind::I64 |
// struct_metadata::Kind::U32 |
// struct_metadata::Kind::I32 |
// struct_metadata::Kind::U16 |
// struct_metadata::Kind::I16 |
// struct_metadata::Kind::U8 |
// struct_metadata::Kind::I8 => field_from_mapping(mappings, full_name, meta, "integer"),
// struct_metadata::Kind::F64 |
// struct_metadata::Kind::F32 => field_from_mapping(mappings, full_name, meta, "float"),
// struct_metadata::Kind::Bool => field_from_mapping(mappings, full_name, meta, "boolean"),
// struct_metadata::Kind::Any => todo!(),
// }
// Ok(())
// }
// /// The mapping for Elasticsearch based on a model object.
// fn build_mapping_inner(children: &[(Option<&'static str>, &Kind<ElasticMeta>, &ElasticMeta)], prefix: Vec<&str>, allow_refuse_implicit: bool) -> Result<(JsonMap, Vec<serde_json::Value>), MappingError> {
// let mut mappings: JsonMap = Default::default();
// let mut dynamic: Vec<serde_json::Value> = vec![];
// // Fill in the sections
// for (label, kind, meta) in children {
// let mut path = prefix.clone();
// if let Some(label) = label {
// path.push(label);
// }
// let full_name = path.join(".");
// match meta.mapping {
// // if a mapping has been explicity set, use it, unless its a special mapping type
// Some(mapping) => {
// if mapping.eq_ignore_ascii_case("classification") {
// mappings.insert(full_name.trim_matches('.').to_owned(), set_mapping(meta, json_map!{
// "type" => "keyword"
// }));
// if !full_name.contains(".") {
// mappings.insert("__access_lvl__".to_owned(), json_map!{
// "type" => "integer",
// "index" => true,
// });
// mappings.insert("__access_req__".to_owned(), json_map!{
// "type" => "keyword",
// "index" => true,
// });
// mappings.insert("__access_grp1__".to_owned(), json_map!{
// "type" => "keyword",
// "index" => true,
// });
// mappings.insert("__access_grp2__".to_owned(), json_map!{
// "type" => "keyword",
// "index" => true,
// });
// }
// } else {
// field_from_mapping(&mut mappings, full_name, meta, mapping)
// }
// }
// // No maping type has been set, handle it based on type information instead
// None => field_from_type(&mut mappings, &mut dynamic, path, full_name, kind, meta)?
// };
// // elif isinstance(field, Any):
// // if field.index:
// // raise ValueError(f"Any may not be indexed: {name}")
// // mappings[name.strip(".")] = {
// // "type": "keyword",
// // "index": False,
// // "doc_values": False
// // }
// // else:
// // raise NotImplementedError(f"Unknown type for elasticsearch schema: {field.__class__}")
// }
// // The final template must match everything and disable indexing
// // this effectively disables dynamic indexing EXCEPT for the templates
// // we have defined
// if dynamic.is_empty() && allow_refuse_implicit {
// // We cannot use the dynamic type matching if others are in play because they conflict with each other
// // TODO: Find a way to make them work together.
// dynamic.push(json!({"refuse_all_implicit_mappings": {
// "match": "*",
// "mapping": {
// "index": false,
// "ignore_malformed": true,
// }
// }}))
// }
// Ok((mappings, dynamic))
// }
// // nested_template = false
// // index = true
// fn build_templates(name: &str, kind: &Kind<ElasticMeta>, field: &ElasticMeta, nested_template: bool, index: bool) -> Result<Vec<serde_json::Value>, MappingError> {
// // if isinstance(field, (Keyword, Boolean, Integer, Float, Text, Json)):
// // match kind {
// // Kind::String | Kind::U64 | Kind::I64 | Kind::U32 | Kind::I32 |
// // Kind::U16 | Kind::I16 | Kind::U8 | Kind::I8 |
// // Kind::F64 | Kind::F32 |
// // Kind::Bool => {
// // if nested_template {
// // let main_template = json!({
// // "match": name,
// // "mapping": {
// // "type": "nested"
// // }
// // });
// // return Ok(vec![json!({"nested_".to_owned() + name: main_template})])
// // } else {
// // let field_template = json!({
// // "path_match": name,
// // "mapping": {
// // "type": type_mapping(kind),
// // "index": index,
// // "copy_to": field.copyto
// // }
// // });
// // return Ok(vec![json!({format!("{name}_tpl"): field_template})])
// // }
// // },
// // // elif isinstance(field, Any) or not index:
// // Kind::Any | _ if !index => {
// // if index {
// // return Err(MappingError::NoIndexedAny(name.to_owned()))
// // }
// // let field_template = json!({
// // "path_match": name,
// // "mapping": {
// // "type": "keyword",
// // "index": false
// // }
// // });
// // return Ok(vec![json!({format!("{name}_tpl"): field_template})])
// // },
// // // elif isinstance(field, (Mapping, List)):
// // Kind::Mapping(_, child) | Kind::Sequence(child) => {
// // let temp_name = name;
// // if field.name:
// // temp_name = f"{name}.{field.name}"
// // return build_templates(temp_name, field.child_type, nested_template=True)
// // }
// // elif isinstance(field, Compound):
// // temp_name = name
// // if field.name:
// // temp_name = f"{name}.{field.name}"
// // out = []
// // for sub_name, sub_field in field.fields().items():
// // sub_name = f"{temp_name}.{sub_name}"
// // out.extend(build_templates(sub_name, sub_field))
// // return out
// // elif isinstance(field, Optional):
// // return build_templates(name, field.child_type, nested_template=nested_template)
// }
// todo!()
// // else:
// // raise NotImplementedError(f"Unknown type for elasticsearch dynamic mapping: {field.__class__}")
// }