PathOfBuildingCommunity / PathOfBuildingCommunity/PathOfBuilding
PoB uses different extended hashes than official site
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Descripción
Check version
- I'm running the latest version of Path of Building and I've verified this by checking the changelog
Check for duplicates
- I've checked for duplicate issues by using the search function of the issue tracker
How is Path of Building expected to behave?
pob should use same way to store passive extended hashes as official site.
How does Path of Building behave?
pob use self way to store extended hashes.
How to reproduce the issue
"extended_hashes": {
"1": 40,
"2": 42,
"3": 46,
"4": 48,
"5": 50,
"6": 118,
"7": 120,
"8": 122,
"9": 126,
"10": 128,
"11": 157,
"12": 161,
"13": 163,
"14": 165,
"15": 167
},
import user, and generate the passive url. pob generated extended hashes
"extended_hashes": {
"1": 224,
"2": 288,
"3": 226,
"4": 234,
"5": 96,
"6": 290,
"7": 298,
"8": 98,
"9": 106
},
The hashes_ex values correspond to the key of the nodes in ItemJewelData. Subgraphs use this node index rather than the "skill hash" as the nodes are dynamic.
Character build code
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
Screenshots
No response
Guía de contribución
Primeros pasos
- Lee el issue completo y luego la guía de contribución del proyecto.
- Comenta en el issue que vas a ocuparte — evita que dos personas hagan lo mismo.
- Haz un fork del repositorio y trabaja en una rama.
- Abre un pull request que haga referencia al número del issue.
Línea de trabajo
Comienza comparando los extended_hashes del sitio oficial con los valores producidos después de importar el código de build de personaje proporcionado y generar una URL de pasivas. Lee la referencia de ItemJewelData enlazada en el informe, prestando atención a cómo los subgrafos usan índices de nodos en lugar de hashes de habilidades. Se considerará completado cuando Path of Building almacene y genere hashes extendidos coherentes con el sitio oficial para esta reproducción.
Escrito por el modelo de indexación a partir del texto del issue.
Evaluación
- Stack tecnológico
- lua
- Área
- game-dev
- Tipo de issue
- Error
- Dificultad
- 4/5
- Tiempo estimado
- 3-5 días
- Estado de actividad
- Estancado
- Claridad
- Bastante claro
- Aptitud para principiantes
- 35/100