wjsjwr
39682f14fe
改动说明 - 实现内容加载器并支持 res:///user:// 路径解析与 JSON 枚举解析：scripts/Core/ContentRegistry.cs - 新增 .tres 资源定义接口与样例资源类（学科定义）：scripts/Core/ContentResources.cs - 默认注册资源/JSON 数据源，启动时自动合并进内容库：scripts/Core/GameSession.cs - 样例 .tres 与 JSON 内容定义：resources/definitions/discipline_biology.tres, resources/definitions/disciplines.json, resources/definitions/archetypes.json - 当前 .tres 走“扁平字段 + RuleIds”，数值型 Modifier 更适合先用 JSON 落地，后续可以把更多字段迁入资源类。 - JSON 采用与 Models 定义一致的结构（DefinitionHeader/LocalizedText/ModifierBundle），便于后续扩展。
69 lines
1.9 KiB
JSON
69 lines
1.9 KiB
JSON
[
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{
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"Header": {
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"Id": "core:discipline_economics",
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"Name": {
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"Key": "discipline.economics.name",
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"Fallback": "Economics"
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},
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"Description": {
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"Key": "discipline.economics.desc",
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"Fallback": "Money drives everything; interest becomes a core loop."
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},
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"Tags": [ "discipline" ]
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},
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"Buff": {
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"Name": {
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"Key": "buff.capital_flow.name",
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"Fallback": "Capital Flow"
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},
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"Description": {
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"Key": "buff.capital_flow.desc",
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"Fallback": "Idle funds generate interest each turn."
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},
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"Modifiers": {
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"ResourceModifiers": [
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{ "Type": "Money", "Add": 0, "Multiplier": 1.0 }
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],
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"RuleIds": [ "rule:discipline_economics_interest" ]
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}
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},
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"RolePoolIds": [ "core:role_surveyor", "core:role_orator" ],
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"ItemPoolIds": [ "core:item_bloomberg_terminal" ],
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"TaskKeywordIds": [ "task_keyword_finance" ]
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},
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{
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"Header": {
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"Id": "core:discipline_computer",
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"Name": {
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"Key": "discipline.computer.name",
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"Fallback": "Computer Science"
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},
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"Description": {
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"Key": "discipline.computer.desc",
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"Fallback": "Compute-heavy discipline with strong tech output."
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},
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"Tags": [ "discipline" ]
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},
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"Buff": {
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"Name": {
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"Key": "buff.overclock.name",
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"Fallback": "Overclock"
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},
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"Description": {
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"Key": "buff.overclock.desc",
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"Fallback": "Server power is amplified for AI tasks."
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},
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"Modifiers": {
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"AttributeModifiers": [
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{ "Type": "Engineering", "Add": 5, "Multiplier": 1.05 }
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],
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"RuleIds": [ "rule:discipline_computer_overclock" ]
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}
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},
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"RolePoolIds": [ "core:role_geek", "core:role_coder" ],
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"ItemPoolIds": [ "core:item_rtx_cluster" ],
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"TaskKeywordIds": [ "task_keyword_ai" ]
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}
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]
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