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main.ts
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main.ts
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import yargs /*, { hideBin }*/ from "yargs";
import { fk_data as DataProto } from "fk-data-protocol/fk-data";
import {
PendingCalibration,
LinearCalibrationCurve,
ExponentialCalibrationCurve,
PendingCalibrationPoint,
CalibrationError,
} from "./model";
import fs from "fs/promises";
const argv = yargs
.option("modality", {
alias: "m",
description: "modality",
type: "number",
})
.option("ph", {
type: "boolean",
})
.option("ec", {
type: "boolean",
})
.option("do", {
type: "boolean",
})
.option("temp", {
type: "boolean",
})
.option("orp", {
type: "boolean",
})
.option("linear", {
alias: "l",
description: "linear curve",
type: "array",
})
.option("exponential", {
alias: "e",
description: "exponential curve",
type: "array",
})
.option("file", {
alias: "f",
description: "file to populate",
type: "file",
})
.option("json", {
alias: "j",
description: "show json for file",
type: "boolean",
})
.help()
.alias("help", "h").argv;
if (argv.json) {
if (!argv.file) {
throw new Error("file is required");
}
fs.readFile(argv.file)
.then((data) => {
return DataProto.ModuleConfiguration.decodeDelimited(data);
})
.then((existing) => {
console.log(`${JSON.stringify(existing, null, 2)}`);
});
} else {
const getCurve = () => {
if (argv.exponential) {
return new ExponentialCalibrationCurve();
} else {
return new LinearCalibrationCurve();
}
};
const getPending = () => {
let values = [];
if (argv.exponential) {
values = argv.exponential;
}
if (argv.linear) {
values = argv.linear;
}
if (values.length == 0) {
throw new CalibrationError("no curve selected");
}
// Reference, Uncalibrated, Factory
return new PendingCalibration(
values.map((v: string, i: number) => {
const parts = v.toString().split(",");
console.log(i, parts);
if (parts.length != 2) {
throw new CalibrationError(
"Expected calibration point in the form REFERENCE,SENSED"
);
}
return new PendingCalibrationPoint(
i,
[Number(parts[0])],
[Number(parts[1])],
[0]
);
})
);
};
const getModality = () => {
const FK_MODULES_KIND_WATER_PH = 0x09;
const FK_MODULES_KIND_WATER_EC = 0x10;
const FK_MODULES_KIND_WATER_DO = 0x11;
const FK_MODULES_KIND_WATER_TEMP = 0x12;
const FK_MODULES_KIND_WATER_ORP = 0x13;
if (argv.ph) {
return FK_MODULES_KIND_WATER_PH;
}
if (argv.do) {
return FK_MODULES_KIND_WATER_DO;
}
if (argv.temp) {
return FK_MODULES_KIND_WATER_TEMP;
}
if (argv.ec) {
return FK_MODULES_KIND_WATER_EC;
}
if (argv.orp) {
return FK_MODULES_KIND_WATER_ORP;
}
throw new CalibrationError("Modality is required");
};
console.log("cal-argv", argv);
const curve = getCurve();
const calibration = curve.calculate(getPending());
calibration.kind = getModality();
console.log(`cal-done: ${JSON.stringify(calibration, null, 2)}`);
const config = DataProto.ModuleConfiguration.create({
calibrations: [calibration],
});
const encoded = Buffer.from(
DataProto.ModuleConfiguration.encodeDelimited(config).finish()
);
const hex = encoded.toString("hex");
console.log(`cal-hex`, encoded.length, hex);
if (argv.file) {
fs.readFile(argv.file)
.then(
(data) => {
const decoded = DataProto.ModuleConfiguration.decodeDelimited(data);
return decoded.calibrations;
},
(err) => {
console.log("creating new file");
return [];
}
)
.then((existing) => {
const keeping = existing.filter(
(c: DataProto.Calibration) => c.kind != calibration.kind
);
return [...keeping, calibration];
})
.then((calibrations) => {
const config = DataProto.ModuleConfiguration.create({
calibrations: calibrations,
});
const encoded = Buffer.from(
DataProto.ModuleConfiguration.encodeDelimited(config).finish()
);
console.log(encoded.toString("hex"));
return fs.writeFile(argv.file, encoded);
});
}
}