The problematic quantities to deal with are $f(0,t)$ and $f(1,t)$; nevertheless, as they don't depend on $x$, it is easier to solve the equation for that variable first, because they can be then considered as constants.
Concretely, in a fisrt step, let's take the Fourier transform with respect to $t$, hence the new equation
$$
i\omega f(x,\omega) = -\partial_xf(x,\omega)-u(x)g(\omega) \verb+ +\mathrm{with}\verb+ + g(\omega) = f(1,\omega)-f(0,\omega)-A,
$$
which is a first-order inhomogeneous linear ODE. The solution to the homogeneous equation is obviously $f_H(x,\omega) = C(\omega)e^{-i\omega x}$. The particular solution $f_P$ can be determined thanks to the variation of the parameter; we take $f_P(x\omega) = A(x)e^{-i\omega x}$, which leads to the equation $A'(x) = -u(x)g(\omega)e^{i\omega x}$. Before taking its integral, one must recall that $u(x) = H(x)-H(x-1)$, where $H$ is the Heaviside function, which is the antiderivative of the Dirac delta function. One has thus :
$$
\begin{array}{rcll}
A(x)
&=& \displaystyle
-g(\omega)\int(H(x)-H(x-1))e^{i\omega x}\mathrm{d}x \\
&=& \displaystyle
-g(\omega)\left((H(x)-H(x-1))\frac{e^{i\omega x}}{i\omega} - \int(\delta(x)-\delta(x-1))\frac{e^{i\omega x}}{i\omega}\mathrm{d}x\right) & (1) \\
&=& \displaystyle -g(\omega)\left((H(x)-H(x-1))\frac{e^{i\omega x}}{i\omega} - \left(\frac{H(x)}{i\omega}-\frac{e^{i\omega}}{i\omega}H(x-1)\right)\right) & (2) \\
&=& \displaystyle
-\frac{g(\omega)}{i\omega}\left(H(x)(e^{i\omega x}-1)-H(x-1)(e^{i\omega x}-e^{i\omega})\right)
\end{array}
$$
where we used (1) integration by parts and (2) the facts that $f(x)\delta(x-x_0) \equiv f(x_0)\delta(x-x_0)$ and that $H$ is the antiderivative of $\delta$. The general solution is thus given by
$$
f(x,\omega) = C(\omega)e^{-i\omega x} - \frac{1}{i\omega}\left(H(x)(e^{i\omega x}-1)-H(x-1)(e^{i\omega x}-e^{i\omega})\right)(f(1,\omega)-f(0,\omega)-A)
$$
Then, evaluating the solution at $x=0$ and $x=1$, we get :
$$
\begin{cases}
\displaystyle
f(0,\omega) = C(\omega)\verb+ +\;\,\, + \frac{e^{i\omega}-1}{2i\omega}(f(1,\omega)-f(0,\omega)-A) \\
\displaystyle
f(1,\omega) = C(\omega)e^{-i\omega} - \frac{e^{i\omega}-1}{2i\omega}(f(1,\omega)-f(0,\omega)-A)
\end{cases}
$$
hence by substraction
$$
f(1,\omega)-f(0,\omega)-A = C(\omega)e^{-i\omega} - C(\omega) - A - \frac{e^{i\omega}-1}{i\omega}(f(1,\omega)-f(0,\omega)-A)
$$
and
$$
f(1,\omega)-f(0,\omega)-A = i\omega\,\frac{C(\omega)(e^{-i\omega}-1)-A}{e^{i\omega}-1+i\omega}
$$
such that the final solution is given by
$$
f(x,\omega) = C(\omega)e^{-i\omega x} - \frac{C(\omega)(e^{-i\omega}-1)-A}{e^{i\omega}-1+i\omega}\left(H(x)(e^{i\omega x}-1)-H(x-1)(e^{i\omega x}-e^{i\omega})\right)
$$
Inverse Fourier transform still needs to be taken to recover $f(x,t)$, but the result heavily depends on the chosen boundary condition for $C(\omega)$; moreover, note that the denominator $e^{i\omega}-1+i\omega$ will produce poles involving the Lambert $W$ function, if any.